{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Loading and Processing Tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function, division\n",
    "import os\n",
    "import warnings\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from skimage import io, transform\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import torch\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torchvision import transforms, utils\n",
    "\n",
    "plt.ion()     # interactive mode\n",
    "warnings.filterwarnings('ignore')  # Ignore warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>image_name</th>\n",
       "      <th>part_0_x</th>\n",
       "      <th>part_0_y</th>\n",
       "      <th>part_1_x</th>\n",
       "      <th>part_1_y</th>\n",
       "      <th>part_2_x</th>\n",
       "      <th>part_2_y</th>\n",
       "      <th>part_3_x</th>\n",
       "      <th>part_3_y</th>\n",
       "      <th>part_4_x</th>\n",
       "      <th>...</th>\n",
       "      <th>part_63_x</th>\n",
       "      <th>part_63_y</th>\n",
       "      <th>part_64_x</th>\n",
       "      <th>part_64_y</th>\n",
       "      <th>part_65_x</th>\n",
       "      <th>part_65_y</th>\n",
       "      <th>part_66_x</th>\n",
       "      <th>part_66_y</th>\n",
       "      <th>part_67_x</th>\n",
       "      <th>part_67_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0805personali01.jpg</td>\n",
       "      <td>27</td>\n",
       "      <td>83</td>\n",
       "      <td>27</td>\n",
       "      <td>98</td>\n",
       "      <td>29</td>\n",
       "      <td>113</td>\n",
       "      <td>33</td>\n",
       "      <td>127</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>93</td>\n",
       "      <td>136</td>\n",
       "      <td>100</td>\n",
       "      <td>141</td>\n",
       "      <td>93</td>\n",
       "      <td>135</td>\n",
       "      <td>89</td>\n",
       "      <td>135</td>\n",
       "      <td>84</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1084239450_e76e00b7e7.jpg</td>\n",
       "      <td>70</td>\n",
       "      <td>236</td>\n",
       "      <td>71</td>\n",
       "      <td>257</td>\n",
       "      <td>75</td>\n",
       "      <td>278</td>\n",
       "      <td>82</td>\n",
       "      <td>299</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>148</td>\n",
       "      <td>311</td>\n",
       "      <td>179</td>\n",
       "      <td>308</td>\n",
       "      <td>149</td>\n",
       "      <td>312</td>\n",
       "      <td>137</td>\n",
       "      <td>314</td>\n",
       "      <td>128</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  image_name  part_0_x  part_0_y  part_1_x  part_1_y  \\\n",
       "0        0805personali01.jpg        27        83        27        98   \n",
       "1  1084239450_e76e00b7e7.jpg        70       236        71       257   \n",
       "\n",
       "   part_2_x  part_2_y  part_3_x  part_3_y  part_4_x    ...      part_63_x  \\\n",
       "0        29       113        33       127        39    ...             93   \n",
       "1        75       278        82       299        90    ...            148   \n",
       "\n",
       "   part_63_y  part_64_x  part_64_y  part_65_x  part_65_y  part_66_x  \\\n",
       "0        136        100        141         93        135         89   \n",
       "1        311        179        308        149        312        137   \n",
       "\n",
       "   part_66_y  part_67_x  part_67_y  \n",
       "0        135         84        134  \n",
       "1        314        128        312  \n",
       "\n",
       "[2 rows x 137 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "landmarks_df = pd.read_csv('./data/faces/face_landmarks.csv')\n",
    "landmarks_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[32., 65.],\n",
       "       [33., 76.],\n",
       "       [34., 86.]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = 65\n",
    "img_name = landmarks_df.iloc[n, 0]\n",
    "landmarks = landmarks_df.iloc[n, 1:]  # Series\n",
    "landmarks = landmarks.as_matrix().astype('float').reshape(-1, 2)  # 第65个照片，把所有part规整为(part_i_x, part_i_y)形式  i=0,...,67\n",
    "landmarks[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's write a simple helper function to show an image and its landmarks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_landmarks(image, landmarks):  # image: io.imread(xx.jpg文件),numpy array  landmarks对应的landmarks\n",
    "    plt.imshow(image)\n",
    "    plt.scatter(landmarks[:, 0], landmarks[:, 1], s=10, marker='.', c='r')\n",
    "    plt.pause(0.001)  # pause a bit so that plots are updated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQUAAAD8CAYAAAB+fLH0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzsvWewJtl53/c753R6440zd2Z3NmETAQxWDAgSZJkiJcsWBXNNlqkiKbPksqqkLy45yLZkfZE/yLbsctnyJ1tUsBVNmMGEKFIMEAkRDOBiEQlgF5vD7MQb39jxHH84obvvzGIXWKw0qrpP1dbOe99+u0+fPv2cJ/yf/yOMMZzJmZzJmXiR/7oHcCZnciZ3l5wphTM5kzPpyZlSOJMzOZOenCmFMzmTM+nJmVI4kzM5k56cKYUzOZMz6cm7phSEEP+eEOLrQogXhBB/5d26zpmcyZl8e0W8GzgFIYQCngP+HeAK8Fngx4wxX/u2X+xMzuRMvq3yblkKHwZeMMa8ZIwpgZ8CnnyXrnUmZ3Im30aJ3qXz3gu83vl8BfjImx08GWXm3O4WAEmSIlWEt18EAtwnIQS32TUGEISje18ZgxAi/BZjMJ0z948FKQVaN+747jECY8Bo++nwaJ8iz0FYnTqdTkjiBKlUON9sNiPPcwCapgnnEsKdy1loWhuMMWjT3qMfO0AUtY9ICoFUCumO0VqjtQ6/8dfyv5VSYkzTzqQQbiwwyAY0jQ6/q6oKGSmklGEcZVnYc9YNUaTCee3/RTi2aRq00eEekySmrutwHq0NovOMjNGd32o7+f5bIQgH+zmRnTkxIMIY/TPuntuE76SQvd+K7vxiet/HKkJKQRQnACwXyzCmds24Z6IiGq3Z3NxoryUlkXv+UrbnVSqiaWow/rOk0Y0/VTjWPxfp1sft125FdNbunb73R52W555/ad8Yc+5NfhDk3VIKt4+I/uiFEH8e+PMA25tj/oe/+ucAuPTAexhMtvHrVQiJVwWJkjSqP2SB6nzqGz5NU6Hcgzr9Agkhwn8A63WFEIaNzREAt27dZDq1D/3/+7lf5OWXrvDVrzwLwHu/5wNorbl69SoA6WDIvffey3RzO5z7xRdfRCp7E8fHszBOpWKkiEmSzE6KEUgRsSytApnNZpRlGcZ97tw5iqJwv1WMRiPWizngXmQpGQwGAJRlyeHhYbj/ra0tlkv7eTweg5GcnNjfXrx4kTwvGQ0nACwWC+bFmu3t7fD71197xY3RMB5mzOf2t0mSkK9L4jgGIM9ztLBzDHDvfZfCmIUQrNZrlkv7khVFgZKSnZ0d+71bFf5lXiwW4fr+fF7BAGRZFp5ZWRe9ucrSOCibLI5I0zR8ty4LhDbh+7qp2JhM7bwA53a2SJKExl3q6tWrlGXprl9x4cIFTk5O3G9LBoMBhtI932M+9rGPcXxs5zpNUz760T8Yntk999zDemmfb16sGA6H4br7+zeJoojx2K47KSVFUYY5uZN7313DcZze8bs7yfd89AdefdMvO/JuuQ9XgPs6ny8BV7sHGGN+0hjzQWPMByejwbs0jDM5kzP5ZuXdshQ+CzwqhHgIeAP4UeDH3+xgbTRVVQHQGNBGeGvLmsxO+0kZUTZNqylRbqvxus047Wq/j6IoHFvXNcaYsLsZY6jrOpjnWZZRljllYbeKQTbmb/yP/wsAf+gP/lv8wld+mbqyWvtLX36W3d1dBsNNAIq65tnnXmY0PgBgb2+Pza3zHJ/cssMSirqxvy2rAikbkM7UFBFaVEwmdsdOkgQpZdgdtdZhh46iiLquSSP7WyEEWZaRpna3WK1WVFUVLIfhcEij1wCMJxucnJwg3W+LqkRFEXHq7l8POJifsF7b45VSYW68ReV32SiKGAxUu2OXJY1uws56cHAQLAMhBOPJJJjHTdOAMaxWK/scGo1SKtyDUiqcR2tNlmVhLqqqYjQatS6OksECBGhqg5b22LzR1HUdvksHGxhTU9fuOZSGBWvKwo5rNV+itUa5nVcIwc55a2nPZjOOZies1qt2jPM5aDvO937H+3juuee4fPkyADdvXudLX/p9AD7ykQ9x48YN7rlwLwDnzu+wWq3C/IzHY0ajEXVt178xhuFwiJdvZCm8W/KuKAVjTC2E+E+BXwEU8PeMMV99s+OFkETuYSgZI4SkqezDqk2N0W5RqAhUFHxIIRpAIoT3df1k2c95Xgfzsa7dwnEvZ1VVlGVJHNu/R1HCel3wzDNfB+DFF19k7/w9APz8z/9TxqMpx8fHADzw0CMcHZ2gGhdT2NhhMPC+O6wLQ5IoqtKeWzcCjPehK6sAjTWvtV5T1zVls+/uSfQWxXA4ZHd3F7Cm5Wq1Ci+Qf1H9izybzSiKIvxeax3uVwhFVbVjXCwWKKVotF2MRV4hhAgKaDqdhvPM53OEacJ1/Vi68Q6lFNPpFLCKzb/0URSFlxys8k2d4gMoipKmaXoKyCuQqrLK0h97cnJCXdckSdK5/wgpdRhDOz7nqkmvBGpodOclk1SVoSztONcuHvHod1wE4ObNmxzsHwGwWi/ccxmEucnzHCV8/Elw88YtvlR/2V6rKhgMrDvwt/7W3+bJJ59ke9O6S8vVnMFgwMbGhrvHordZFUUR7v/tyLuRPXy3LAWMMb8E/NLbPDb4UauixMQ5pfPthDZBKdSioTbrzi+lCzS1i0EIgXCWQ6PLsNi8f9YN/hljwk6yXC7JsiFPf/ZzADz00MN88tf+pR3TMqcsy7Do86LBIFks7ViKUpMMshBMIio5v3cBYewLlyTD8KDX6zVFXoXxVpVVEk0nDON3fLAv9mhkF9hwOCRJEozbVeI4dnNXhGMnk0lYcEmSoKR9kUejUe/Y5XJJURThOsJZXH4+tNbhJTPGUFV1UApRFGG0aK27pkHG7VJqOtbcYrFgurERPiulGAwG7e5e1VRV1bNQusrHWwvdufKWQ60btNZBSSilwjwbI3oxpDTJqMsyBJLjOAXTYJyyTpRkNBqxXNv1scoLqvkszPO5czvhfq/duG7XmQtAFEXB448/Hsb5qU/9OuuVPU82SMnzkp/5mZ8B4Aef/BhJknDlyhUAdna27HWXt8dS3soiMMYg5e3B9Tv9+5uRM0TjmZzJmfTkXbMUvjkRaHyaSRGpBOmyDFJKhEurRVIhVKvHfPygjTHIXkZBqtYPhlYDg93tbMrOp+/g4x//aX79138TgOHgCyzm1rTc3JryIz/yI3z5y9Y8vLE/Z1XkpJnd0TY3t9nc2grZipP5jOdeeB7pzj2fz8N1qqpAax3MRaQgShOyyO52o9GIra2tXvrPZxRu3rxJ0zTURR7mRmvds34mk0kvjiJdim2Vl9QaKreTamBdrsNvQTMYbIfdrixLdGN3xizLqMu8TWcOBghU2N2jKCLp+P5JkgSX5+bNm+E4f6wxJvytLKz57C26bjYlTVObrXAWy2AwYDabhd9ON7bs8UP7HLIkpa5dPKKu3TzYZ55kCbGSNI233hJqZ7oDKCGRkuDrG2NIU5/VydnfP2QwcG4bkpPjE85t2+d969YBi8UXyHO7Xr7zO78zzOMzz3yVn/npn+WP/7E/CsBnPvMZHnnkER544AE3jojDw0Myt5biOEbrUynaU9K3BvRt399Jvhmr4a5QClEUsbVlfa7JeMpgMkU7s04JCR47YDTI05PUvvTitOEjWvdASuly5u1nYwxHR9ZvfOONV/nUpz5FpNxLtMxDuqeuND/90z/DxXvO29/GMVISgnbrYsXVZ68HM393dxehFC4jidEETIAxwv3X4hCSJGFjYyuMq2vWTyaT4LZUVUXTNBwflOHY0+m6bhouiiImE3s/ZVnTNE1QAnEcE0UR2rlmXsF4/18IQaTagG0ks94C1VqHl9fHZ7ruhj92OBxydHzcM/GVajEPaZqSJEmIX5Rl2fsuz/OgBHw6shtY1VpTFPbzcNC6HZH0gWaXgqxzlBTgnr+hAXR4GU1TUVY5q7IJ4/DBXymHCGHY3T3v756maVgu7Lgm4w2m0ylxYu//6tXrlC7FPB5PieM4rLOL9+xxcHAQnu/ly+9jPB6zdkHMNE2D8u1hbJycdg+k6n/u4hbe7N9vJWfuw5mcyZn05K6wFLTWwWxbrJboKAFhhxZJ1bEUQKiuBlUIodsAHx7N51wRqcNO6s3TLtJutVqFgM/P/uzP8MaVqySxBZWMxxsBYDSfn/ChD3+IurFBuq889xIyUsFUnU7HpNl5bty4AcCVayXnz59ndsuCXdbrIpitFr3Y0DRtek8IEXaSnZ0dlFIh03FahBBhB7PZhab3XV3XIZiYJAlV5VJ0xZooili64Gic5CwWs2AZTCZjpJThOaRpSpa2WYzM7eh2PuZk6ZDz58+He5otFwGQZARhXJcuXcLQd9267kIaJ2itQ7ZiMpkEd2k0GhHHcfjOZ1v8/a/WBXmeh123kAS3LE4GDIZpm76MBIo2u5LnC3TTBNfDGBs4LVzaOU4SFu66dV0zHGW8fvUNAAaDlO/8nu/m4Op1AK5du8r+/j4f/vCHAfjilz7P/fffD8Bsdsz+/j6f+tSnAPhTH/uTbGxscPPmTffbLXZ3d3vZly6qtOsO+7nrupZCtPNq0bJd1Cm9796u3BVKAVOTL+wEK7OL0imFyyfHg2FIQWqjUUYFbKQQtVMMHhbrYwQuJ26qno9s05J2wo2Gf/gP/gm///s2n7w8EVCP2dyxiL7zF3bD4ovSh5nNljz//Iv2uskAKSVJYhdglo6diR2Ha+1fu0G+ti9YFLfmm9aaLE56D777kjRNQ5Ik4QVbrVbhJW8aG233E7JYLEiShHQ0DueabG0HtJwQghtXLdr84OCA0WhEUVklUDUSqQZkzuTWRmF0TRJbE3hzYxJcjcFggAYmzsVJByPGw4xXXnkFgK3tDdZl658LETFy7sDJyQnz2awTU6mYPvggm5sW42FdAxGe6RvXrgZ3qahKEIo0s+cyBtIsY+7M9vEgQleGJLFzF8eKKLLzOplaJeY3AVMaqrpiENn1sCo1o8GY1exUNko4nMpws4cOzbIsIBpPTk6QMsIdiowGTLcyPv3pTwPwR/7tP8QD910C4PNf+ByDTJGv7Zr8+jMv8fxzL/OjP/qnAZv6Ho9HbGxO3DgqtGyzacboznp3SqKzdjiVvWzffQO07vO/cTGF02Jv/s7fGdHFr2MB1Z1ju7fe9bnruibLhgHL8Pprr/Piiy8ym9m0UxKNGQwVF+/dA2AyHXHsvpsohTGCHedTltqwXC7D7m7TmVnwsSeTCVmWUeStn+h3s9lsFnZjsDnvnZ2dHly1aZpebt/76j4mUlYdq6OTdvPBU/8yn05tds8V4L51G1OoQ3Cuv2P5eEMXutxNHd5pR+taMFtbW+G3FhsS9yy3+XzewS208ZQsyxgNJy1UeZ2zXC6D5aCImU6nYfdPO9bM/v4+w+Ew/HaUDFEqDvOQZQmj0SDEVIpiTdM0DDZ9HEH2gp/d+/WWTew2gfHQbhIb21ZpPv/8i8GK/MAHPsCtW7d448p1993zPP4dj/GZz3wGgAcevJe6rsM9SQmik0b/Rju8MbZ+407Wgbco7hSXeCs5iymcyZmcSU/uGkuhGyewmQKn/XSbVuoe54+11Y+y9723BqQQVA7os7W1w2KxoqntDvb0058nyzImE5tWmh0f8eB7HuDo2MYFhNxGuvTn0dERq1UDrqgpSeyu6ndDpVQvs7FarSyUdTEL3/sd2aP3uu7CbDYL6a+maQJIB+zOenq3j5zfnKYp4/G4t6PFcRysn1u3bnk09W2WwuksgFIKgwg+eZZlvVRgXddhHMPh0KXsWuvm9E7UzSDM5sfh+h7G7Xf0pmmCf22vm/TOYWgBRj795seom9uRlN6V0HpoMyh+noUFVJVuBzfKIBNJPLDnGogBQghcSIGiKHo78HK5DM87jmPyPGe6Y687Xy7Y2d4M9zSbnXD9ur2nGzdusDndCJbQpUv38/prV5jPrSuyd+FcD/W5vb1NWfkMSX8u3YdetaFAd4+8zV34ViDRd4lS6PsA9mXvpGXCS387erGrELo1EGBfTp/qOzw8ZLlc84//0T8B4Pr1m9y4cSssmh/8oR/gxo0bwZfXSF588RUA7n/gAV579WaALR8vj3twVG+q+c/z+Zz5fB5emvFkHGIbFh3YIviqWiPKmqKch3tSSqHcuBIhghLwL31bdm3xDt40z/O8F2gUQlBVbcWd1roXy4iiKIw5SRJ03fRqEELFYZbRNE0w0625W4fvuyhIABVFQaEMh0NmJ0eYTpn2erkidjiUjcmUk3ELZV6vlyGw3FQlxVoB1h2qqoZISXacmb45GbNerzl3zsYnTk5OyHN7v1tbW6xWK6T0yrfqYToAbt1q051+fuJsEr63GxI02nCyngdlNJlMqKqKxaJFPDZah7VT1zUHB0fhu52dc5hV6cZRuw3C3u9Xv/pVLl9+H9vunm7dusXm1m47ho4L0H3uXnzKtft9V74VVONdohTawXssRtcX6vID9IINQjldIvvnMD5HPg4LeTye8tmnPs+zzz4HWBjzycmcRx95HLBxASMFhyfHbhyCW/u2HqEsJUcna9z7RWMq8jznNEbdL5rTEOr9/f3wb4979/GH4+Njjo6Oert915/tFiZ5bEW3pLiu6xCjqOuaOI47Jb+14zloYwjdRRLHcQ+QtF6uwrW87++fQTdW0TQNSrRlyE3ThLgDQCRE2DUnk8ltyqhr/WxubpJlWfiM0LZOgTYu4a2o0WjAYDAKmAZpLK7Cw8a7NQRSWpCUV06Hs0Or6Jz1l6Yp6/WaxOEUPFDK79Kn5+w08K2ua+LMXuvo6IgHH7w/WIN5nofMzNHREXVFBxJece7cOQ6PbPHc1tYG8/k8KO+9vT1w4CUB/SCZ5+Hoxg5EJ/tEh4qC2zMVb1fOYgpnciZn0pO7wlLougF+l5XC745RD8rZdR/85+A/4SOxrVYcjaw5+Nprr/GFL3yBBx98ELAkGg/c/1Ag9bh5cJMnnniC3/nd3wJga3ub865K8o1rNxmPtokcRFFGdnfp+v15ngezPZT6uoKZ8XgczHJjDEcnx700Y5KlvYpD0XEZsizr+d95UaBdXOT09brwZv9/j7Lz7kCAgDu/3s+dtxT8OOu6rTA9XaCT5zmmqcKx3lLoxie68HKhDcq5h3EU2/iLw0/oqsbUDcuZteikMsQOSTmZjNjY2AqWgdGCxWLByeHajUeRpgMWjnRme3ubzS3r51tIeLtTRirtWSRNDfm6ajM3CsqiQfdeidZCjaIEv4fmeclqlVM31nKaTqc89bmnuWfvgn1mgyEvv/wKABsbG1y/dQvloPrHx8fs7Gxx+f0fsOO8dY2rV6/z3vc+HuY2ywa9+b5TVqE7wrfKUJw+x1vJ3aEUOjRaNhdPb/H24iy3VYURbCbT+Q+gWK2Cb3fj+k2uX78efM5HH32M3//yV7nnHvviDwc7PPvMywyHFqdQFobl2i62yXiDqqpZrDwuXnNychLG2DRN7yXyzDp1J7jXBoAgTTNiV5NQVZWD7rYw4G56r6sUPFBnkLbYCw8x9r/t/n9jY4OqLsI8+pSlPyZJkk6KLgvuB3Dbvy3LT4vDaDrpy7quidNBuG7XLZnP5+zu7gY3zqdQ/ZiLorAsRoF6rQnpOXu/+wF3MRlbt8uP49q1G5w/fz5cdzKZoGTLBlUURQu3HkzZ2tpi37mEdV2TxG3KUiCRIqF0Znx3broYCy/GGMZTl75EWKiyo6974NIDTolYwN13feeH+L3fthW3jzzyCMfHhzz22GMAPPjQfWRZFp7LYDB802Dh6RfbGOMYAd88Jem/+2bijXeFUkB0gyju355kRcpegUhvWkKQsc+j4K2JK1euhgDfK6+84oqnfM57zeOPP87alcouFhqNII6tll6tF8QuEq4byMt1p6Ygoaqq3u4/n897+AApJU1n5/QLyisBf640TRkOhwH77hejtwIWi0W7UzpimEq2izMUVtHiG7qR/q6i6CoFryS8heKRg6Gk2QOl3Fx1uQp8abR/8eu6Jh3I3rX8S5/nObGgR5wyGAx6SqEbQxHShGfmz+OtuaqqaGrTU1br9ToAoVarVchkGC1cNsI+w1sHRwzGE5Z50RnHMFx3tVpR6Tao161B8Narf4ZJkthaB1cuvr+/TxqnPSyGj4PMZjN+53d+h00HhLt16xZbWxs895yNbT3y6MMcHR2h9QPhHmWHz9Na0adiDG2yoRdz8/cF7yz7cBZTOJMzOZOe3CWWgkQbZ8aZhkQaSscIVBZrpHJ49nRAVatOlL+iaSpSFwVeLhdIadmWAe7Zu8Srr1quyqef/iJX37jJ7p5FLF67sY+QUZtm0xF5nvfKdptuLMNIRkMHkV2veyg0j1Hwu1KSJPZvHpWoNdr5+bGy4/cmcZZlFk/gI/nCZhSyjnvhGWd005DJCF89rqT9PlQzqqjncwo0SRSHMZV15bN9DMcDBsNJqDGpjWQ63eTmTTt3WzubLJz1UlU5xSxnmLhIPZqTqrZVq4BEEwtN6iDSeZ6jlT32pFgxKGaMB44GrixIlSHJnLu4PmA0mlA7UpLhcMC88WhOTZoo1q5UPK8aVBxxvLKpwFEyZrWecXjSEqYqt3uX2qBUzLpuYyYHBwcdJq665+Z4xOJobNOKi8WiZeuqK1arFVsbE/e8bRVmUzrLiAGYiImro7h164A0tfO+MbHPeVa5LNggA2l49ZWX7d9n+/zQDz3JwPGU1qImxmVQlAzxGj9GrXWPzdvovtsgnSXcY8DmdtfjG8ndoRQMvZy/lLJnQnmTqCxL4mSEBzMZ09A0bXGRhblGwYz72he/1iuuOX/+PMpzNGpBkqXhwU83d8nzvMfU5Mdk6yZaJVCUJZ4fEVqIcDcu0i1p7kJkvanszboupsD/P+rk+YGgbLw/nldtrr1rPvrfdtN//rdlWZIlKcPRpHfeLs+ixffbGMzh4WEbI1ASYUwAlGVZxqIoiJ12Gg+HDNKYxgHFKl3T4PO3NcY0RNKOw0QxSsnewlaIoARNUxN5A1Za81k5U1xECqki4pCClq4cfBXmPR1k7t+Wu9GUdszbW1vMOjUYSqke1sRvNN5FWK/XPVxCkiQMsjbgOxqNEKqNsXS5Ii3Qy7kSzl2Z7lrlsL29TZ2veeKJJ+y5RylXrlxh94Llg8xGLedmnueOX0GHz90AbhRFvfTkt0vO3IczOZMz6cm3bCkIIe4D/gFwAbt1/6Qx5n8XQmwDHwceBF4B/rQx5ugbn4xegMtq89sDJFpr6qpoy26ThCRWgaeuqipOjo+5+oYtcR0Oh3z5y18BbJVgpNqdEWE583d27C60Luoe4q2qqlPIsX6xT3eH9uQnp6P/ocGHlD1IsM8wQLsbdINrTdOEnfR02ay1jFrASp89SvaKjezf7P+LorDfxfYPi/mKxWIeuDH39/cZpi1asszXDL0lpCLKsmDuIvNRLBnEEuPvzzToao3yroqMWXjkYFMhhSB1FaWR0iSpCinKqqpRsiVIURhSt1fVxsbUag/VdvcvPbgnljSNCTub353BpoMFbWp0uVyyXq8DEU6WZT0eyjRNOTk5IemkWbvFY122qKqqLF9m1qZsy7IE3e6xfix1WVnXzbmSr7z8MpExXLpoCWJ3t6esViuuX70GwAf+wGW0c3lsEV92G6t2F5wWd/qgfKucjKflnbgPNfCXjDGfF0JMgM8JIX4N+I+Bf2GM+RvCNpb9K8Bf/kYnkqLNn3uOAP86StW+ZEYoQIcJ17qmrqswaUmSIEVEEtvF/Nq1l7h+3VanrVcFcWyonAvQ1IbFql0kmqiX3usiFr0CCP4Z1tzsIvq6ZKXelPTmp2dX8sd2XQOwrk2Xtej2Lk+tW1IUhS/BaF2tTkahi0WIoojaMQBNRrZM2jdfQWiqomTmeBtmsxOqLArVfRGGyOf4tUaiQzZFyoztrQ0KVxoeK4GuWyVqhGa9tD50WRmGkUC5kLmKJHEHqieahtrkIZWo6wZHwIwyGoMkcgxX2nEeSPe8l0XZq2/QWuM7YgkDKhYMnDuhjWE0HvdK6fM8D5mdumlYrlbUnWfedcOUUiE+45W6XytVVdnnolvGq65EUURdtNmW6eZmUIr33nsvSglWToleu3aNvXNWYSRJQlEUPbawOI571ZrddL5fE+9UvmWlYIy5Blxz/54LIZ7Btot7Evij7rC/D3yKt1AKp9MmlpexxSl0S6UlTTAiYqUQRqH8wzOGo4ODsNB/+7d/OxQHeZqzxNXm7+5sI2QUfP+T2byXduqm5PwYg//pinr8Z//gurgF73f633Zx611LIY5jBoNBiFd4hSI738ed+vqqqoLT54NQXuFAiynw1/X+9vnzFyxFvFt8SRQjZMtunUQxUSRQLkBGXSEd+KrRjeWb9I/JBzh9z4w0oapL6qrlsVAOkz8cxgylIHPnjVWMUgL8y9tojBYhPmFfbDfnRmEESHf/tdF2M3Y7sq8DSdwP6s5ObUxDU9XUyj7PvKgCy7Wfm246d7lc9ujouv0l7PlML32b53ngl/D1J90akBbwZZ/TamYV6D3nz6GbmpdftoHG+++7yHRzgnQgsxeef57NqcXKbG5uWkxIR1F1rRu/5t4Mx/Bmf3sr+bbEFIQQDwLfBfwesOcUhlcc59/kN39eCPG0EOLpk/nyToecyZmcyb8GecfZByHEGPhZ4D83xszeLljCGPOTwE8CPPrQJXM6gu7LZU/78irqIswKlst1yCAsl0s++9TTHBzYYhPdEFyJqra9C4JlcHLCOi/DTrm1e65HbuKJNdxYe7tK7ayIrvnYNeM9eWpXowcGIOeGdH1Zf4y/bpIkGF9cFEUB1uzN2IY2jda1Ouwua3o7lncXYiXJy4K179zkAFULV8IrI0WT1yH9mRpJNhmE6xCllI76yyhJFMXBGkBqIhUjHeltldeUHoq9Lrm0t0Pi4j5Joiyrsie1jSOauu1fEA2HFC6LIbXGCEnj50ZIojjGOGtuEMesirzNvhhNlLRVnvPlktXKlVtnA2Sk0M5tidMEoWRISR8cHCClZDy01t1gMGj7Whq7LoYu+7BA0QqmAAAgAElEQVS9vc1qtepZZEopV8bcJ5gBa0n6qYqiiOnGlGuvW0asa9eusbW9wYYDYG1ubwQ2sPvuu4/Nzc1e9smvNX+dyKFbT8tbEbR8I3lHSkEIEWMVwj82xvyc+/MNIcRFY8w1IcRF4Oabn6GV06a6Dh1mdaCfApt79y22yrJmtVwELsHJaMzO1jZ756xx8rXffz48oCiKOLe7R+4w98vlmiRJAov0uix6KbzBYHAbRZqf5P2Dgx4qcTwe92CxdV33qgq78Yg4jnsPS0rJYrHowZpHoxG5p0Avy/ZFduajcW+65yboNWXpKLOmaVpqs6KgyNsXqFyvEaoNLDZVDVRIhz0YD0fs7e6E3y7KFUVhx1RjEMkE5cZclTlJEpEO7HNohHHxHzuvUhgq51NHKkFIg/H1GkaDJjRpqaQIlHFSSqQSeAaBOI5IozZodzxfoqsaHTprSxIXf0AmAT0KlrWsLMuQAvZpZK+s0zRlY2MjxA2m02moPvXNa7qIxqZpQuOYwEDtaQO1JnaYjUhaVKZvRru/v8+57UcD1R9a8+KLL1K+YMfx6OOPcGHv3jDvg0ELH18ulz1sRbdT1p3kW40vvJPsgwD+LvCMMeZ/7Xz1T4E/C/wN9/9PvPXJ6PnjNs/rdkoUsfLlsILVat7p/5gg5TQEqQ4OjnjppZc8izeTySQQoM5mM4qkAtX6hYPhuNezMYqiYBFsbGyEST04OOjBmDc2N3uWgt+du1BmX17rpUs60vVVwQJlfABsNBrZOgR3Lk/Y4sfc5UDwVoK/bl3XPQqyuq6JMnu/h4eHtj7DgXvW6zVR0rZrK8uSpqpIHIdAlqRBoRwfHFIXtt4BwKQRy3URds6yatBGUNR2nCfLnNz1aKwa43pa2rkapDFZlhC5GEKsYlu45CLuhRBB6RkBjTGhV4VRkkSasNuPRiNHU+/y+GWLFamrgqJoM1V5U/c6SHneCT/v/uXzuBavrAHO7W4jhGDl+BO8ku9ail05TYNWVRXDkattEZIbV69x8YIF0e3t7fG1r3+NC/fYYipJi8u5cuUKu7u7AehmjGE0GoU4WTee0L22/+5blXdiKfxh4CeA3xdCfNH97a9ilcH/K4T4c8BrwI+8g2ucyZmcyb9ieSfZh9/iTmACK3/smzmXEALhdre8rEEIRo78omraXpISGAzT0Bka7C57cmzNvNVyzbVrN8KOfrLWrDzMdbLJKi+JnXOnDVCVISWVLxtQKiT2D46PW99QCFSSMHC7zs2bN3uoxMCW1DHbV6tViPRPx5MAn26axlUYut2wbogFAcWXyIiTg8OwCy0WM1TiUIfNiqZRpFGbIcjiEcNxy/hTVAWF60vYmJpZ5RF+AqViGp9RaAqq1YrYm9umQqpNTGF/OxpK6tLGZrKkZDxMmR3a36poRDYSYcdSSlGUeZh3pRTOQCEeaIxeEXXSe6tV3s6disjXi2BVjQeb5O7xJmlEMhyx9B2qRYQw0rk6QFEwSjOMy9EKrVl6nEljC6t8paosSkxRIHwkX0li2WZBRqMRx8dHpM5HXywWnDtnUYZ1Yzg4PA7EKSoZohqB7wN8fDxzRV6OhEaDdI19ZaSQSYr0bQhMRGXgxKVzv/C1rzCZDgOSdDk74ep1i7M5d26PwTChdNWXSkmOjo6CyzufzzHSBPeqT2qsXWr331A2Z88SA7fXi99J2pr/ptcz4vXXrji4cZvO9GnBOI775mXd9K7lq+LWHV++61qUZRle1KyTAoSWV7FbVWdNeXtt7/v761oz3D2sunHmp33wJycnlGUR8u26LgMAyTaWNVQ+JZk3rNdFoA2z9O8a47jHtdAUeRv08l2R7Jgy2wG79nUGkjRWxMqu9DiSlM5nLooCoUVYLFWeo5XkvKMQa5qGk5MTJh4ToHWYx8loxGgwbIOwSdpjbDbGgDa2v4c7t1JtyhHdtO5RWTCQwxZerhS10SFomSQJ2pfcVw1Vo0N6TRrZC8o2mN7nqqpQSnHhgjXjl8tl63rkOUqpkNL0z7tf3m96n7vVikKIEMuIIsX6YM7enlU408kmx8f7DEeeQ0EF5qm9vT2MFkGRCyHZ3Nzk8NDWp4zH0x68PswnYDAutfvNuxN3hVLA9Hn++orh1M0YSVEW4bvFfMVXv2q73D/7zNeRMuogvsRtaLAALBH9OMDalfD63b5LXCqE6BGXlnney0V7fIP//jSC0SoLF9Cra7SuiXw4WghUJAJRSFNbwlBfUDNIEzJHRrpcOt85BBYNRiuUakE1QKBga+qKRLaUaqvlKszNcJghMeCwBbFSyLpgNLAKb5jE4OZZYnEGg8T50Ms1zVoydDEHmSSsT04oOpbCpttGL+ztcev6tRCr8XT3upNd6T4XiWDsMkbZcEicJqGeIS8Liqqirnx8IsPkObX2yNEWYFQ1BqEbIhfwjByCMfBKNrW9tlNAVVX1Srq7uBNjTK+b92xmm+jEp2jyvFhMS0spp5QKdPBFUaAiGSzUJBtw8to8xDIeffRRDg9sHOzkeM7JyUnYXJSy/Tt9kHK5XISGRV5OK4UWwPv2lcJZ7cOZnMmZ9OTusBTouw9Wo9/ZUvDkGFasTvMugtWaEm/dV7SQU48NCNVwddFDi9Vak2VZ+L7LluTp3PvsUPq2moNujKH72RhN48twmwoaTSWc+dxYWLcvy07TGK3r0LFaGkPim6EYi3eIkpYgVtOWyyIlWjcBBt5UJUZ4CDTURY72dPGRIIojRr7NWhyjqBk5qyQyBg82T5UkylL01LE7K8VsdcLy2Jqx58+f59LeTi9y7+exWBxz6dy5Hhqwm37289TuZCrgEjQGoSSpSznndcoqX5P6JrjGzrNn42q0hUKDg17rDi4hTliv1z0G6jiOkW5ufT2D/344HPZqV6SUvdqHbvVuFw7tP7dQfItALNy8b4wnjCdDvvAl28F8a2PKex5+iGtv2PaFX/7SV7n/QUu4Mp+vMIZeantra6uDuhyGLN1psdb2t2Yp3DVKwctbxRRms3lg2jk+PuK5514IL8V0OuXll18NuAVj2g5R3kTtlgpDWzI7ch2evFnnTTV7Tdv+PPzGpba6UOXuuT0W3gOQbBDSfqcQSAWRox430iCl7SVhz6WoipKlcyciDFPXm2Acx4g0onZUXwtRsK4afLGAERopDFlggpasHU9BLGKGk1EA2CRKkiZR8OURho1sErgZhNYIV3gUScUwihluOpdoZxMjLvCGKzzLjw8tn4QLCJ/fPR9a0TdNQ2x0zxXrumm3dbtWhDLqBpt+9OjlNAIdR8SuNVy+rhiOMhL3XuRFhS6d0gNQNXXVslB16d3t+mjXmn95u5yVHtjk07x+PfgNoe4oja670Y0peOyIX7Oz2Yy8yincuZRSLBcrDg4tiOzq9Rt2EoD7Lj1AWWik4wbd2tpgNpuFmIsFfMneZnRazpiXzuRMzuQdy11hKQjx9jXaeDymKBxYxEjKsuTK63bHKssaKaKeS+DFk490AUbD4bCtZHQVaX53OF2pOBqNgrbXdd3LRnRdCX980zQhWAiEqjipLIDFpyS1bqDRLjMA6AolRIAFx5FiY+SQgmlMHMfMc8/oZNCmJHfW0Gq9os7XRC7IlUjBwMF+s8QwSGNSD6+OI6bDQShUkgYm40EP3COMBc0opYik6oDGMkaTMfe47IMHAvm5VUpZumRgEEU0jQ4WCECSRD00njEG4QukhAzgJYEBGSGdS1PrCGNsxsVetyKRKVHgZDH47IoSgkhIatF2He9C0btoVWiDxY1LYUdRFEBjniy2u3Zms1kINLbuj2jv34mvej2eWUtgOnaNe904FosVh8fz0Kns+PUZn33q8wBMJhtsb+8Gpuebt67y2GOPcvXqVXtumpBp8+MIvSos2Wnvu7crd4VSgNuRWXcSH29YLl0zThGxtbXFs888D1jS1yRJAhnrZGsnpIJ8/UH3sxAioNbK2kajfbprOp32kIFdJeFTjP7zer3uuRMBs1B32H/9YpQRaZqG7sjSZV7SkWceqqDWZLFDFkaKsVMKq/mMQRSx5ToizfKc/dWaI8cyPZ9rRCEYusU6SVOGY08LNiWNFJlTgue3t9iajEM9fhorVKJw6fUeFkQpRV1WSPfCZWmMTFIunLPVfHEcs16ve0SvoXFvkqCbPrNRLzXosSDOBxhNxoF+bV0W1E1DXTozPYqJI0XpFKZuGvJ8HV4wYzovu7apOu8C+dRgtz6lqqoQc/AksYNsFNaHH5vtMi1797Ber2k68Ser3Oyt9Cp7nVLwcJDFakmxzkMmo8oLrr5xPWAgPnD5uzDYdfO7v/MZ/sJf+As8++yzADz2+CPcuHEjcGIcHx+zMd3tuA8yuJLavHmT5reSu0QpvH1NVlVN8Ptfe/UKs9mMrS2/Y2nms2Xrz6o4+IF5npMXVXiRsywjy7K2tNpxHnhIqce7A730GcD+zZu9AqnTdGz+N1nUFlR5190GO1Xwm23XK8140rL/VmUZSomzJLEgG6xvPxqk7N+yAb6jfM3hKmfmOQzznExIdret0ri0s8u991mgy7mdXQTacRnAvXvnSaVkPbdKUUlBMh6GgOh8tQ75fyUkTVUQuRdokKUQRT2KuUS2pchRdC5YXFVVsa7qYBn4Ho3d3hRKqbDQi6oIacUsy1iXBYeuJ8RqtaLWppPzjyjKso3dxClDB+M2lNS6hXHXdR2g7ACxh0d3+lN2MS9dJmi/GfkNo3YbSNcy6iqF0/BjrTWFo9ofDodMNzdCT9MGwzBNuXnzlnuGBYmbi3vvvY9//I/+CR/79/9kmOfVasWuU8bL5fw2SHU/vvCt1T6cxRTO5EzOpCd3jaXQBQJ1o8JZloVqtMlkgmgqjo5c884IFrMTdnbtzvj1Z5/j3kt7HB6fuO/HodMURqI1AcZalCXL5Sp8VkoSSRkq/yIpA/vT4BTacTQZB3ovsCw/cRwHYpS2KMUVLiHQLjI/HCWuEtHHBQRpGlM5piLKnEGahkKuc9t7HB3bY1MylieGVWZ3/2u3XiOvKnx/nKip2dva5L332gY3k2RAtLJjHO/A9s52jxglyzJGrqGJQSN13Im+V72YSrfLdhzHVLoITXAjIYmSTqMZIYmilph2ULau1zCJe0Awf86Ra4ZzOF+1KT4lWa8LNobWelurkrKuMZXvtjQnrxuUg5CfrFZo97yTwRCEJJIO8GVK4iwNObrlcmmL01yJvoxtVWvlWMRrXXUAaNJSwTmrYrleU1ZVqOzUhUU8pi72YQTBqgjFbM5NK4sGTBOyQFIqB1az97+/f4vExYEGwzGf/u3P8J5HHnafEy7dd4HKQ8KnE6RsKffquqF2sRylIrRo2bKEfPuv+l2iFNoGIB5PENqqGRle3P39fTZGg1CiK5ZWWbznPe8B4Pq1W2zt7HJwZF+oUNJK6570U0Vt8EzrPuz59L97iMbavjDevIyka+t+CpXpY2uDwYDGofCqvGBjMkEb+/B2d7aZz+cMBtaXLYqK2WpN4/AFVSIpHc3X/vEJs9mMxn1WQjNOInAm/2R3m/e95yE+8B3fAdi4wfaO9V19RaGHT1s6uX6gzTT9atWuO9QNJEZRhJKjnqkqu6aqNtR1i0vopoY98tPPnS9f9uPY2doO7fbq2rodvi5GqAjytm6iMYayKUlwwBQpKBw+QNSJdS8ah8oUsvdMu36//xxFUWhW2xVfrtzFV9gGtS3Ff/dcXU4L/32Xz9MYE9KqQgjKpiZRbRDX43CuXr2KkIaPf/zjAPxX//V/webmJnFslcbiaIEapv3ncKoCtxvnertyVyiF0/GEuq6DIkCq4OdNp1OODg943RFUjEYTjJC89KKltpKRsj6qg5Su1y2F9+nA1mngSZallGUZrBD/f7D+ZRzHbds0xwsZ8tKIgIfvXgPlFiAG4UuU85XNeTtfPlaKuiwxjiZORgnr9TFLxz/w7Esvs8rX4bpGCC64dulppKBqmEysQnnife/lOy+/l70LNmg1HGYMB5Nwn9q0wdAosi+FCvNgIdhdYphuDl8kEXHHUtDluu2OLAQqkiHDorUmrlu4uHFZIiDQ6Lc1KP1MDlGMLNoXJo5VoFKvmpqk09VKKKh1g/TPOIrQlRtTJBgOLLEKwDJf9u6pG+yE2/ku+8Q4ogd0W68tF0cXQm8Dk4TPp89tfG1HU6BLDU6RRUqgtcG4YM9gMAh8IaPRiJPZAfO5HfPXvvY1ougyFy7a59s0feVzJ7j1t6IUzmIKZ3ImZ9KTu8JSMKbdXfMOOxBYDedhzHme8yu/8mtcvnwZgH/+y7/KcpGTuYKRo6MT0mThM/69ysXTWILT2vw0E7LfOfyx/m/+XF1TzVsK/rOPXGeRq8CM4tDoVZmUpi5Deq8uK6bjEUb6KLmmWKwCKlHmJVHpIdE16TClXFv3aGNjg3sunOf9j1mf8w9+8INcvPcCtZuBRkIsW4SmRdq1tHBaN8EftWNvm40YCO6QVIoojomdyZ9lGfm8NfklIjAuA1BqfKBDSUVd6o6F0sLOu3Prr7sqK4RLq8WJbaITdnchSZKI6djeUzpakjQlpesoVekqVElqU1M2ZXCXJJaR2n+OJAjToP36cK7Fafo/+3/T6wDm8S2+pNmnL6VoMQ7dtdMtxJIiClT19vuoR1ZrOmjPNIt5/33v5zOf+R0AXn31dR5++GFmJ9bK3N46R92htT+NlelCsbsWxVvJXaEUpBQhb1vWFpPuU1pRUuPzeb/wC7/AdLrJ1rZNOV64cA/Xb9xkNrO+3Xy55tbBMZOxPZfWfb7C7ovexSAAnJz0IbBdBeEbmQYaLNc63rsTEsun4BdYkiQMBgOWh5aJLhmKEGgaTlIWJ8c2rQfcvH6VwWDArLap0WK2ZHcy4cE9GywcpUmAPJdVxXRryqVH7wPggXsu8dA997K7aVOySaSoTEUTWqgrhp3ScSFEUE6WMq5VjFVVIVWnIe1pQFbVLpUky4jMuGNeG6Ro57ISfQVqlY9XCgowHfi5/ZuH7tZNQ+P5AaSgTMoA+610g2pa1+PSxQuMxmOuH1reh2VVhYpRmpp8tfB0CaGqtcta1Y0Thc7azm3tuji+lLnrWi0Wi6AI/QbRjVt13dYoigL+Q8WWc9NzWBpTuQ3KxdCahkHqsCOpXWeeAeuzTz3NYrHgL/7FvxjGFUctNLvLDelrd/zfTrNDfSO5K5SCMW2jjeHYNseYTOxE1Frwqd/8NGBJLpWM+bmf+3kAphubPP/8iyzX9oan0w2Lcqy9ddBew1sC3R4J0E6kD3R2A2+nLYnuooB2kUQuglx1gphVVZHEbWt6T2aSKEm1XnB+1+aab924ia5rasd/GEvNey5c5IEdq/g2kpTc7YwqVly4Z497L78XgM3plNFgSON2i+PVmsFoyHRs587u9nZBF3nliqXsXPnuzlJ4BFyJQoSSbhlHvfvPTbuwdFVb6nX/Uhhb9NUNeGmfEtEtNbqfx27g7fQ8Z1kWahTKpnaK3FkOUgFN6KW5NRmjlGLhwFu10ZYoByiLiqbRSN8kQ9kMkLeUlPvcNF4p2DiRB7N5y8p+1/Q6dPtSemPauoo4jnvErV0qviRJWOUttqIx7fdaS6CNV0RRw+bUZlOuXr3CxYt7nD9vOR5ee+0Vnvq9z/Jrv/pJAJ588knKcsY3kq5yfrtyFlM4kzM5k558OyjeFfA08IYx5mNCiIeAnwK2gc8DP2GMKd/iHOHf3uTxmvP5F17m6aefBixO4cKFe9jcsrvo009/nqKoeOSRRwHbCm0wlCE33DS65y4UddO7Trcs28Nv76RZfeeoNhWmeztBGie37Xha69ClualqCpdBkcJCb33j0SSJMVpjQiqtZnuSBTqzCxc2STLL0pOMM7bO77C1aa0MqRRVU6M9rHljauMvLitQFEUwRW2KV4e8fV3XFOuWLryuKpBxmBEtWrZqKSUYE9yj2hiaquxXOjYa3Ynse9+9MQ1ZpDoWmM10RCElp3qENUmnxkA1DWiD8dTyLl3tqe3qeUVsTCj/bposZG3qokQhCbUQUYZEYBxMU8YCtAmNjJWQpHHimzz1Yk6+vqDLxNVN/QXLUba/7bYH6Lqt/l59yYJPScYdCL13nafTKUdHRyGW8WM/9mf4xCc+wVNP2ffhoYce5qGH9u7I6uzfoW625e3Kt8N9+M+AZ4Cp+/w/Af+bMeanhBD/J/DngP/jG53AQPCbbtw64P2Xn+C5514A4Fd/9V8EGPP+/j7ZYMi585YJ9/XX32AwmnB8bCdxsVoSxykCz5VYBb/fljdXvRiDEO2DTZIk4N/tb5vbgjRtMU2/VBrunJtuhO99sAp/n04sdfp8ZoOFkVLMVyukA81c3D3HB7/7D6AcD+FkOqByL4WaZKidAaycQhpIojQhGbu4wTCjKMrAD7g53cTUrty3kaSJRAi7gJbLuaVZ80GtRNEUOuAn7AVdl6MoQhqCa6GkQnRjKlJSde6/qyD9v7t+r3+5/W+7EHGlBFkHPr0uC6rGd1sypFlLvR9hO0PX7sUeliXX9y2nQ102JHGGdkCn4hQu4XS5se8Mvlyuwzi91LXuUcx5yv/ApuX6hXjw0nA4DBgVz+6lIrdB1BY7E7ny91jJXlcvi384CWPb29vjgx/8IGA5GT/60Y/y1FNPAfB3/s7f46/9tb/U46robmqnYwxvV95p34dLwJ8C/nvgvxT2zr4f+HF3yN8H/jveQikIJKu117Ypt24chkq4xx5+hIFb9H/y3/0TbI8zjl1gkbJgc7TBlddvALB38V7euHGNxiHN0kHWgqBqQAhyByLKhkPbL9I9PE8R1uVZ9Iu8LMtgSQBsbW2RJG1UvKpqYmHAUZwrnbOVjTi/4Xb0aMqBUwIHR1eJzBrlG5qgeODcefYP7Ofv/0MfRhmDcNWLm3v3krlajziOGY4n1FlLuqGUYeh87oGASglqt0ubJke7AGcjaxrRIYbJMsqiYOAWctk0ZJEIiL/KSIynclMxRhsid95BFjNb1eAyJkmWsZivQpBPGhl6MQgpqaVCZr4mQYBu8RJ1vkZjSFzgVYoYg53HvCiIogStPY9FQrFYsfBBM2kYDBQb2gHQmjXnN1wDGyqOT+ZBoZSrGgxkvsHu8gREhHHzU9QNet2EykJBqzCGwyFFUbAMeJGaYZJQl22cYLlctsHrxuCN0mQwZr1eUxUtf8LQrT2AxkCUpJTunpZFzSB2VG3xkO/93j/Cyy9/HYD9m9cZZQNGsT35ONYsjxckws57va4YTiz6s9ENWTbsWM1vvw7incYU/ibw30BABO8Ax8aE7eYKtr/kbSI6beOOT+bvcBhnciZn8u2Sd9IM5mPATWPM54QQf9T/+Q6H3lFFmU7buMcfedC0LEYpb1y7yosvvATA0eyEH/7hH7aDjRI+/9nf5b3vfwKA4WTCatUEk0/f3GdrY5PDY4tG7PpUptHOx3Zdh12lW+J9Q91v1nkaDdb1E+uqsnX/wVRrMMoShYJlcdrc3AxU7IfHxyELcH57l3M7WyROH29lIwZJwsOPXAIgyWwOfODKpW3Lcz9mez8yask6jTG+0xsUDXWtqSrfiKUiHXjfVqBkhJA+3ReTJAWxI0mVssHk64CmMyoJzV88D0XjqjEn42Gv2c1yuQyVg9358s9gOMx67oTRnbZqTXsNoO0MRpvxacl2VUjxgcUxLFd5mOetyQZKLt1pDWjB2u3IhWkom5rK8SUorEXl6dssejLyvYKYz+fBahzItqu1v6cuzD1JbDeqbuVs13Q/DZn3v4G2DLuL8GxoM0AvvPACwrmPH/nIR/ji5z7Pj/7YnwHg6ac+yyc+8Qm+7/u+D4BHHnmkd/06by2y0/DnbyTvtBnMDwohfgDIsDGFvwlsCiEiZy1cAq6+1YmMMeR568s/8/VnWbimsz/+E/8Ro5GF6r788stk4wk3blq/MV+X3Do4DuCm6eYm62IVFmtTVAEnDqAiEYpcyrpCyjYAJpzveyewh0+jdbsp0SHVwGgarUPr9jSOGQ9HbIe+hCkr90LNZsfk8yXCLYp0Y4vJdMr25iRc7/yFPTZcR+PBaIhy9yCrkizLWDiXKMuy3ri0sXBq32MhSRIqx0VgtEREquNbGuJoQOx8W0wFIu9AbKc0nu8wjjFNRblq6cd6/rm2vTYT91L4tnl2LhLXb6LDLaFtAZY9V0QUtb06V8sWjON5KcLzbCyuwH+Oo4x8tUa7wGqi2g7dqRCW4MWdqxIG0Wi0U0JG1zTauk0AVaOJkjikkYVou4x7PsfYuThKRgwGA9auv4aNEUS9OElIVzsgk0nbufHPxn8uyzLM12KxwLgxnN/bYT6fc98l25p+Z2eH7/3+7yN3NT9Xr98giuDatccAeOihB3BUDCglLcelr6HpgJzeSr5l98EY898aYy4ZYx4EfhT4dWPMnwF+A/gP3WF/lrfTNu5MzuRM7hp5N8BLfxn4KSHEXwe+gO03+Q3FGAJ3f5qlFHnJ7p4t+pAy4vNf/AIAly5d4sKFC1x5wwYWkYrD4xm5o2cT8zmrfBnQg1W9RnbYcjanG4HVZ5BmGGMojIcbt+kmO6bW6zldzg2W6sr3V1BuZxBNew6tNStXDj0ajcIOlEnB7u6uZVjCsjdPNsYtgexoxNbWTuh10BhhacmwO3ZZN8F9SAetdQFtma43clSs0D51agTCyBbMA0gkwjj3oqkxnQj77oVBsBSEEAiTsZ7bzycnJ9RNC0qSSqI6ZKVlXoRu11nojOVhzRaApJvWnG4aE0xka8bH7bzLdrx1Y3rIvKpskIh2Z9MmuIOpkmQKTOLZuw1aaoTnbksjVGPQjmGq6rgtQK+hsM+eBIssdhahszq7sGY7/7rnDmitAwTak9QOO8Hj0WgULIf1es3IBQsPD4843JmyXFmA0ngy5PjwKFRUXr58mSgiEAXleR5IZoQQoZTff3678m1RCiQ+pXgAACAASURBVMaYTwGfcv9+CfjwN3sOb8a++spraAFPPvlDAFy9fo2tTdf9OK945pkvhQX28utvkOctGmx/f5977rkQIrvRdBwgqnVZcvHiHi+4WEWUxJRFwzBzjEdl28il+393T/1curIlyH5hRxhkrDwTFsIY0DX33X8/YCvfPHagLnOm0ykL16x0MB5x8dJFtoYWmp0NLU+ip0OTcUT26c+w8w/+H47+k5/g8Hv+AJFnqz7VfXiQ2jJa/2KbDkXcncpq/b2BqwqsqoDoE0JgtIf5lkQdSPT+/j7Tja02TuDmJl+1LFcBvx/FHM0XFKVDbMYxutZULgtk6oa8aKnXBZbf8txXnuU9v/QbfPWP/WFeffiBMKYuTf9qmRNFCcYp47KuQqVmHNmW99I1t1mvahrZvhixEjQI2inRgGbpTPNuByhfOh0Qna4OotRtpqqLrTkdW9Bao2mVnhBtU2BjrOvkFUxRFMGV1rrkQx/6EL/+yV8BbJPgxx99jNdetXTwUkQ88OA9oXX9weE+023fxaqm6qQ6Pbbj7chdAXPWWrN9zgKSXnvjCvff/yBvXLOhiOefe5Ft1xJ9vV5z5epNjo/tC7VYroniNJCeVtqwWq1IUp8v3uDGDWtVxLHi/O5uKLvO85LZyUnQyt4PfDON2qubiEA3ULiWa9JEiFiGPL5/yKnT2qmSJO7fyzIn0pr77rWBxc1zWwglyV16Ky8L9g+OEJEvihnwkb/798muXGX6d/5vXnnsr1MdWKz/3FGP7+3thesmScx64cqUyzVp2l0MrWKzt2kQDswkpO5hLWx+veU1kJHscE9o0iQh6rRIR7ddmIU2gdLeH79crDn35a/x8C9+kq98/0d57SF7/wr7O6/YTk5OaJqG7/75X2Hj4JhH/vlv8NSPWDoyXwPhZVmsGQwGAQjUGIOI/ItslYIfR5pH1KKhcYmxpqrRur+TngYl+Zd7OByyXq9bfs/G3BZM7W4a3ZiLV2SV23SyLLO8De5chetM1gtESt+RO+VLX/4KWzt2/UsVc+36Te53m80v/MIvcv7CBrduWSq3V199lQuOYCfLMqSUt7UyeDtyBnP+N0BefPIHmF26h9f/9A/96x7KO5KHf+mTTK9e532f/PRbHvt7H3mCWzsb/O4HL/8rGNmZdOWusBQQcOWKNYmuXbvBd3/wEk/9noVyvu/y+zsUYSNuHqy4tW9TjtPJNut1wcnJgfs+QwL37NkCkpvXbwRNOZlM2N/fDya3r3pcLWyWI818A5l+6shLt5gKbduUeFNVSGPptp3FYrMcMbHbSZMoDgzL0XDM1vYWF194mQf/6a/w7A98H5/dHaEXdpfZ3Nphb28vWE4Gwf53PcH+dz3B8cmcxbPPonTb4KYoCi5etNHp8XjMQy+9ysV/9HFu/viPoP7491Hmy3CsMP3CJHSJdDEFaWzKtrv7dSsKbdNbR6nmwDxeisLGEIJJXDe9yP1sNufg4IAv/JGP8IHf+G1+94OXuXbtmn1mSbsb+3soy5Kb73uMn3vkQQsqcnGRoiwpiqIlZEky6nXO+65e5/u/+DX+5fd8gOcfsHNR64i0TkJV6DC1MGdR+hgCNi7kLLJS22foyX3SNA3Wi3LNf7rsSfP5nE1HZecRmQGQ1AG++V6SXZLX7q7tC69C+nMwoHRQbamsm3Ljuq22ffXVV3n80cdCJadtglzy8MMPAbZD+dGRfRcuXLhAnKgAovLz8HbkrlAKZVlxcOBacS+XPPfcc3z9WUvbfvmJDwQf6zd/87eQ6QbK1RTsX30Do1sTaTqdsLOzGXjx57PjEHwbDod85Stfpvbt24xhY2OjRTA6nEKv70GnFLYL3W3qBqFaczqJFFIKjA+mGYul92kgNRiE4FA0SBHGcO/P/jPGN/Z59J99kuRv/89sJhb9WDcNW1tboeIyLwouOFdjuVqR5znLw+uA9TG//vU3OLhlX7CiKLj8y7/F4NYBG//XP+TV734/0s2VvbcWmq0iQd1UaOOb0pa93LxdcK5tXJpaVJ5b9Ekc2biCg6bnqzVRFIUu1d2O3RLBV557gfn8hOckfO4/+BO2Ya1DFu5sbRPHKrBoR55l2c17Q/tMVuuC2WwWmLhevHadPP//2XvzYMuuq8zzt8987vTmnEfNkzVYQrJkWbYlD3iQTYMMlAnAhm66uroYuqujmqA6oqo7Oqoggogu6o8morqAApuywYAnbMtYHvEgy5KsMaVMTfmUc77xvjudefcfezjnpmycRgYLyB2hUL737j333HP22Xutb33r+xL++UNPsGNryB0PPcETu9VimhYpWZnVNvaFkbDTmJELTuVovUwoiow0zxgW6tizs7P2PMaDAUmS0JlR39f3gikegpF/b1Lkm7JvYRhaoNFsLrZFXbc4GxxIyeSZfh3BI488wqtveBUAR55+kuuvvc7SnLMsp91uc/XVVwNqYzXzPU1TvMCvweC/J57CD2wEYcApvRoWOSx0l3DkMgCPf/sZy+0fJDBYW6fUuW4Qxmz214naauJXmsY70ByH0ajAD9QO1B9lqk1VGJGPiv7WiI424QhclU8axLbdqimilVByXIYCW7qSyWRMp6V2Ck94tDwXWerKhiiIncyCmFErJtPvHaYFbA148cfvxvvkvQx+4edoeTOkjl7JPZc0cMHRcl1hZKsYlcwpijGtWVWZEV6bhY0hy0eP6rdGfO7KS7mrqrj/ulexOy1xtZ9ClRW4wsHVk3O4McTxHSYaLJukKaIYs7Sgmq9i17WVivFgpGr8+rrnRUY7TxEDhe3MRhGrG5ts6kaezdHINiadXVmhSh3SVC82+YC9e3ajizFE7RatMKJtrNhljfpv9vuUsrD0aT8omJ3r0e7WXqKbm5t8fP9O3vXCcf5i1wKh7jHIvZJKpnS6iu8xGIwRWUFpcA+9ARR6Kw18nywvLSYxNz9fy/87jmqt1xWKTst8PvZYCjxWIG1THj5JEkajEa3YeFamlGUdddVy9eqhHY36+LFuI5JQSI9JoqPI7jxPPvoYd7zuVgBOPPc0O3futuZI7XbXgvBhGJOkqY3AmpHd9xqviEXhn+JYve5qVq+7mj37DuB+75ef9ziydxdnr1Z6C9+RX/6PcDy2NMdjS3PkZclFP+yT+UcwXhGLguf7LC2pHWprc8Dp06ftLj0cDhltaAZjkiBk3QlmutVSHbaePn2SjbUVG4rNzc3Z4wgpqSpJZlybpArr4kjvQp5nu91gWoHXhIeWDSgd4jCyu26eJoiwxYyuZMzO9qYs6cqytCFv3O6wb98+ut2aYyCEoB2r924MhnjCIa8MPVUw0mYocRQQuAGpDuNnZzpcfNFBSr0LnD51gkF/E3T+eObUCWYKtVN6rovIc2RV0H3oMS7600+w8s/ezfi1PwJAkaW4XmA5DnlZ4Lpq1/V9jzKvMYO8yimSFJEXzD/+NPs+/UW23ngryWUHAJX79/uq0+/MmTM4ucuCFpWZn5+n04oxtnmqQSiyIjf9jbGtGAhH8QgKLbdWlSVVmVsDl4WFBSVuonuW1zY2ahMabQRj7mcYhlRS4OvIwC2Vs7ljGrcqw0OpMZValamaojWbedDkTDTDftMZqd5bvASfapaHm4Yz5nNNqillSZoknDh2XF+bMywtztkK2vU33ojv+3zlK18BYHFxkde94fXqHqQpQRDY+2AcqM5nvCIWBVlJm58eO3aMW29+DU/r1mnXdTn6zFEAvDCgKHzm59UES7MJjpC2Th14Pe0CZG5ORlc7L83NzTGcJNZPAeHSbrcIQk0DTaf9EIMgsHmxycvsJNDpmVFCDgOHhdkOs221CHQ7Aa1Wa4rvb8K4nbt2sWPHjjp3L1TaYvo3WlGbspTW+k5KiesYXYaSNMmo9EPS3xhTZAm7dqoFdee2Bfoba5w9rcqwLx59gavmVOrlVR6D8YhkOOLghz5K6+QZFj/0MZ694Sp1bJnT7s2pLkYUEcrx6pJkniYUOiVAFhw7cYKoFXPNJ/6K9pk1Lrn3Szy88G4ANgdD1vub+jgJB3fuYcbk4y5UVcHMbK0ynVclmZ68flj7WUpZUpa5XUB8x0EWtXZkVqr7ZEqyUghOnlb4ynAyptWuZehVLt/goSBwtGKUuc6yKmzaZqTo1b/LqQfZ6G6Y6rXhGjQdpMwwG8pIU6Kb9nNQtzg3z9MsimVRWcwBIIpaCOFy3+e/CMCNr76eNE3tA/+tb32LW267Vb82Issyi9X8g0wfDLnCAE1mJz169Kj9YifPnKbdmbc8hPGoIMsScv2Ffd+nzLPa8CR2rRZDu9tja9C30l5h6FHJjFUNcFJFNaqNavk167vjupRVZdtbyypFlIU17ZhbWmDH/ByRbyKLcurm+77Pgq41b9u2zVrVg2qAKoqClsZN2t0eZ1Y3yArTwuvaz1lfOUMyHhF66qFZW1sjTzNruea7Ht1ubSfv+z5jPRlLz6dME4o855k3vZbLPv911n7ynXS01JsfheSFy1hHWZMsxZc14JflCXmmFqoqLxgmY1IpefA11/Pqr3+br990tTVLqaqKQDdabVtc0ka79d9837dYznC0xXA8sQ9g6JU18akVIzyXVJOi0lRxBZo9KEVRWPbnwsICW1rPcpRMpqzesiRXJKvSkIYapr6oBUhpTU77g9j50GiIM3+P47oK0OxBOVduznEc8lT/rElitZCrQDTEfSSQaf2NShaEbsRIY0pClvQHWwS6Uvbqm29heXnZVj1mZ2ftc+Q4DnkjSvkHJ9x6Yfz9jpWrL2Vyyw3Mzs8Qfe+X/43j2CX7OX75QbaGowukl38k4xWxKFSysjbv27dv55lnnmF1VZmoRnGX+R0qPEzTlF7XYdBXqPDW1iZxGCL1bpCnCWVZWmXoyy4/aHcKk9PP688RrstwOKKyEm3V1AoPNQvM8OBt26vj4cuS+ZbawXctzbFzcYaO/lnKkmtOr3PtH32SI2+7i9EtN9pOTmMyYnYdFVqOqHTYfur0KutbQzxfrfidTsiaNqYpCkleCiv7FbU6zMy4thozHA6pkJZzYcQ/AEo/wK0alOg4pqqw+Auugx/MEOopUZQZro5ARClJkEh9rYZbAwqEpWpXpQTHpddWKUKrBTgm/VHux15QqyklRcGKdvHK85x2t0fb3BdZWRR/lKb4vour6/I+DriNsmqmIgeTNwvXtfNIOoLhaESSJFx3dp0ff+4EHzmwm7/u1DupK5y6VCgELhLRwAXMPRKiIUvHSyXWjFBrk5vRpMuXZWnvvxHsMSOO4ynFryzLiALPfu7c/CyR6d9IJxx9YRlf//3JQ0fYvWOOyy5TXZIXXXSRxVS63S5+EEyZ8JzveEUsCsgavFlYWGBjrQaMlrbtsryDOI51LV03QFk/AHWYQgj8wCVLtHLPeGyBMyFc5mZmibQl18rKCqPRxJa7hOvjypp+WlRlrQ7hCCqkVS8ejwZKkrzUgNNowHAzYLalSFNeFHDNZ/+a3qmzXHbvF3j+LXfa7zcej6dAKcOHWNVa/nlZsW3PHjY21c/jouCklhjbsTjHxupZhn1Vvs3TlDAMrf9lFPgszi9QaTC13+9TYcg5EAgXdI9JKVxkJREa0PSlQztqE+iQeJwMKHSJtapyXIGVac+zjP5oSNKg0AZ+ZHPpNM9xnFpbodfr1foBRUnheKSV5ins2IsUglx/h9Mnj9uFLJ0k9LptYr2gyEqBcM2HKggCkqGmDCeJPYcoipgkCVmW8d89d5y9wwnvOXqCB66/XM0Nr8TzHLzSnKdu927I+jcxBOP10fzcpnfFd/MMMW7WVarxJ8/Ha2hxyEKVRU2U1Y5im+KkaUp/Q1DqFM+hIs0zq7Vx/MRJHn34G9xyyy0AvPGNb7T3bzgckheFTcPNonQ+40LE93c0nnjr69javYNn3/6mH/ap/JMff35wF8e7bT528d4f9qn8gxiviEjBD2o09uDBgzy0smZLlM021CAIGGyObHg1OztL4LlIqVbOosxohZHdac6cXrU71OzCPFHYJtSCJUWhtAQjHZqOcwWAWU3HspxyM2p2zTmOg+c7dPSqPNdr0448ui0VmsadNsPde/n2bbepz26kHkI4Uwy2CkXbzXRJsjc7y/LJU7x4XKHop0+fptA78uNPJhw5/BTzOgTe3NzEFZJAKw8tzM9y2cWXsGOHilgWtu8iM85UwsGVdVRVCVXK8/T3l66PcALCSL0gkymJLoWmyYiiqMlbRZoxbpj3Rn5IiWA0qR2TWq260SwtJcMtFflsDUZM8oK+Pvb+Sy4hzQoLkD3/3GFbTWi3YvBbbGpfh/FwxOL8gmWOOloA1pZ+pWSkQboSaf0Ynu/1+M19u0myAqHDaMMqdLW4ru+45K5L0aAym2GMYWyXbKAYmFtbffsaI/wL08bGVijGvjewYrXmWjXTjSAIrLJ35Ac4VPb+l2XOwsKS/b6zs7NcvH+7VTu/8cYb2a+bBzc3N5lfWKgj30ZF5HuNV8SiICtpwxvP87j88sv51kNKQ+HgwYOIkycAWNvcoN1uN3jkYso8ZGN1jaLbrVlibsD6mspdN9b7DMYTG071+wPyvCCZaNZaFKlQvEE/ta7SelI021ADUTE/q7CL/Xv3MN8KmJnRxq+tNp3ZOVqeUU6uRT07vZmp0mdeSs6cOcNYdzPGm33++EMfYWFJPdhlWXL7ra8B4Kknn2B+YQlHy+sI1yOIInq6ciE8j2OnTjPWpcOdO3eS6YpBKwppBxEYyTQEUdAiMHbrjst4PMGL2vb7G/s2VTbLyfVxB/0hpaxr8XI8oswrIt3SHUU1RyNJUo4ceZ6LL1F578233c7Szl08eehp9dpOl/XNTXbuVlSrr33zfqvOXKQZ3VbbytwFjovnBfQ1HrFnqctgMLAaGV6jjJxX5RQuMMky8rycehiV2lbNRfFcl7ysF4Vajs+f2pw8z6PVanFSz0vzXc2i0Sz/mbZrM+/KsrTcGVBhveM4dg4rR+5aHr4p8+ZHIQcuvojDh5WQ68bWgK31k/z8z/88oKsvmoXZ6/WmTGm+n/ThFbEoOEIgpdo582ydIHRoxaYvPOTsqn6wt1bZPr+TxUXFb3cch7jdsZZcftwBLyRPTOmwItb8hzzP8aLYWrxnlUR4vs2fqqIkGU8sN16WlQXwHJTtmwHAfM+h12q2RnvEUURLPxQZgqJyGGgF39mFOdKxmijDwZggjhkM1STwo5hgboGnHn0UgM9/+a9590/8JDfcpPLEP/rgB/jwn34YUNqI4+EWgcjtOZdViyJXnzPT6VKkLkLTcT3h0NFgYZIXRAt1rSFLUlzfIfY0ddeLKeOCMlM7eDHcwtHOW14uSArBSGMVYx/ytcIEDgwnE7KiZBKpX2xr9Ti9pnbRZ557ltve8bNceaXK5U+fPsVTDz7Jlm5iu/TSLh//+McIAtMw1qKve136m+uwtsKeXWqBPPXiMrLlkxUa61iROKJUYR9QliltHekMJxm5zBGO+s7C98jSlExfGymgqCpLC1ZiL6WFkdqtFmlW2+L1ejM4JnIULlvDhEsvVX4jx48fZ3Nz03JRtra27MJgIqDhWM3hVquFE9T+GoWsqJJpD420obwcxS22NKB7xWWXMNzY4KI9agGNXQfhhnz722oD3b9/P6GOVtM0pWyU9r+fcQFTuDAujAtjarwiIgVJLW0lHMnMTNfm3MvLy7UjkOxOrchCCF544QVbdpmdnZ1q+W2WiXzfJ3C8qe42gwxDvaJ/J5KHca82q3mrFdObadn3+L6radA1aSiOYzzNRFxdXWVBq0eNhn1wXYt7FMMRH/zwh9h/sdpJ73zL2/jLz/wVz/3nP+BfrJxhft8Bju1RXZKnV9aQZWlJUgtz89y0us5PHHmcP7/4AA/OpMx2O8xodDqfjEmkFgyVECUJsb52cRTRbret+9JwOES4EU7gE331m+z8//6Itfe+m/EtN1hCmbnOk8mE4XBo70Oe55RV7aS8vLxsMYXXvva17N27i0NPPmZf253p8K2HVKffE08dIujNMBqrCGVydo3VNVVd6bbaREHA00eUWpbvCp5+9lkr9bZnYRvdTkysMZU0y2xnalVBHMS16G3LpygqG1VWeYXrlnjaGdxHEIJNkfI8b7QwFwRBQCsyytcO4/GQKKgNXPI8t/cUavmzyUQRs6rGnGxK+5nopC5/CkKtFjUej5lMJhZf6/f7vPXNdzI/p8quH/vYx3jH2+9kt069Dh06xEWXKkXn+fl5yqpR3m2c2/caL9cMZhb4L8A1qGf7F4DDwJ8AB4CjwE9KKTfO41j2/57n0e2pSRVEHbKBCluHwy1mWgv2Pd1ul/F4PPVgr62tTWkCTFGVnbqcVZYlfsOizMh0N4c5rtHZMzduc3OTxXZgwaEoiuh2u/YhyVyPdidmpIGo+fl5Vs4odRzfC1leXuapZxSNe3Vjk6uvvhpvRoFrn/zM59hz0SX86hNPclGa8svr63zkn/9LAF5cPsrm2iozPa090Ir46f/6R+wajvi5M6skt93G6WNHGWgqt1dJqlKz/RbbzM7NEUVmQdUgnQlbfYc0LygcQfe/fIDg+WXmP/hRJjffgNQ9ISYkzvOcTqdjc+MkzSkqidCc/UsvvZx9+w6oi+gI0uEahx5/CFC9HZdfcRW/+r/9r8x97Wt0fvu3+fwb7uQhLdu/fvo018Q3cN2LL/LOBx7ggxdfxNc1rX3Q77O2MbD3ob91lL07d7Bnu5oTrhuQa7BTSFVezPVCFrWjKVevqqqQzRZnhNLHaDARQ63A7LqqhOw3QvyiKCw/wsjdm/nTdGoaj8ekaYrr1FL2VVXZzwGF7zSNjUcalA3DkCiKWF5WHcNXX3k5X/va17j2VUp45hd+4Rd4/LEHrDbF2972tikz39FoZDk7po3gfMbLjRR+B7hXSnmPUH5kLeA3gM9LKX9TCPHrwK+jxFy/63CEUOg2ChDxXM+SUKLWHMdWVENIVVU4XkCm+/zTvCRud22UUZYljjew1OaJtkYDbOuzpaI6Cjy0tfU0fYkcWVPEdbqppSKOY1pt9cC1Wi2iqOkYlWrASEuMbW7ac+xvDhiPx3blHo1GHDpymFMjtcBce/2rufsn7uGPTpzm5448zl/f+aNcdKnql7/xppt5//t+jrvvficAvbkl7v2Rm/mxxx7hkbe+le3btxOKAqmBN1dI21brBgHd7oyVeZsMB4wTcEIjxa4kyh0J/fe9l97vf5Cz73kHaZoqKbLxxPpA+I47RQmfTCa0Ol2bYy8sLlrgrDc7wxe+fB+Jph+/9S1v5fIrr+HJw0f48d/9f1ncWOfnnnuG+xbVovjtRx7n+uuv490PPcT+4YCfP7rMyR//CQBWz5xm+cUXGOu+kNIBZ30Nx1XXvRf6VPr7Bp5Hx48tD6WQykvTCOMoWnOFY7QTNUXBAs1OLbwjhEuRFzZ6dV1XVbm0oGocx1NAdFM0xfy+tACmijhdY0HoKkl+8/o0zaYEYSeTkcUFtra2WFqY5ZlnlNZIv99HkHDDDTeoWdloxBoOh3S7XXtcEzGcz3g5ZjA94A7gffrLZ0AmhHg38Ab9sj9ECbr+jYvChfHS8cCO3TywYzfXXnYVt/4Nrzt08CDOm+9UPwz6f8Mrz38kr72Z/g1Xkk/OP+T824wH3/VurvzQh9j2f/5f8Om/mvrbn77qOn7qycf5yBVX/Z2ew4Xx0vFyIoWLgBXgD4QQ1wEPocxmt0spTwFIKU8JIb5nz2YlK8tglLLEcQWbm4rFJ/tjuwLPzvUo8mJK5HNjY8NSmY3s1ZoWNhWytK8tyxLXDxrMuspGB6BooL7vv0SM0xwX6tp1p9Oh221bTCGMVFt1bXCiOvKM0W2r1cKRamcYjxL6/b6VnzuzuoYT+LzmZlVt2L3/AJPRmH0aR/Acl9/6rd8C4NKL9yOE4OwZFS52I5/JaGhpzzNzc+Rb65Zp2O20aM2p0HppaYl2u43RKnUch1bgEOhdFlngOW7dNViUlPr7ZkmqfDf1ruN5nnLX0tdyOE5wHMfuaHNzcywvq/bex554HN/1eMub7wLgsquuJOh0efrQUzzth/zpe97Lj2xO2NxSC9BgMODppw/zNJD86r/ikYceZFafx86dO9nY2GCIWvy2koT+5oCW7ort7dpGV4fLoqiQstGYVOY4QuBpdZew8Em9ilJjKpSS0pGYCm1VSevqVVFZdqS5dt1u10adhpVqSodG6s9cK9d1cYRJRRT+ZNyuwzAkDkMb0QohKPU59/t92nHITE+VE8siYzwes6qb3M6cOcMv/sJ77XXvdrtIwzrNc5Iksd/fRM/nM17OouABrwZ+WUr5TSHE76BShfMaQohfAn4JYOeObfRmFIawtnIKKWVd/gsddu9WunuPPnGSmc4srq7/T5ItpZbjmNpzRlVJUq2MHAd1p6IBeMyNzYvpHgRzY7+TmrMpV5n3VtWEJEmo9KRRjtaO0vhCybMp/cSab96cUCdOnLAWX0HcYv+zz/NLn/sU9918Cztf8x66Mwt88+vfACAdbvKqKy4G4Etf+DwH9+7miv1KsbfbCqEd4uhSYelIiiJnYWGBPc88z62f+wqH3nIXK9deTRRFlFJQNqXOpFPLlhc5XhwhGp2OZpRlSZHnVnlJSLUwmlx2fn6e/QcvYkP3aDz19BGCQC3UO3bs4M0/+g5WNbdgcW6R0vWptLrxrsVFnn3qKR6+/5vqnvkeXeOi7QiqMreksLLImOm0uXVthfcfP84HDhzgPleQ67B+a20DtIKT4plIAg005klOVRX2YRRCIhxpjLUphEBSaxkkeUKpKdC+56nrpztXk/F4KnfPMhXyN7kABm/J81yRmaqaPKRk7msAfKZTh/lZWtDuGWexmNGgX88dFHD4ljcrluyzzz7L0tKSJS8pGT91nG3btk25a/19tU4fB45LKb+pf/4z1KJwb7FmYwAAIABJREFURgixU0cJO4Gz3+nNTS/JK6+4RFr2IBV5ntp26XZ3ns68WgmXlpbIE2EBnvF4bEE+qFmI9udsPMVKzIoajZXUzS3m/03CShNHKIpiqpIhhOnzV681NXbTk1EKdW7G4zBLU5tjHz9+nCuuuIKTZxXwGMcxv7Q5YOf6Jm97+EG+cvYE+WTInm0KUzl56gx3vuEOAG686mJOnTjOzlk18ednemyLBeO+iqq2kgnoBey6v/4G0coal917H+PbX0Pc6hCGoW1vlsaZmpqjr1pt60VBmpp+WdkKjLk2SZLYPv7BaMLy8jLziwoln5+fx3V9Lj36Ind98auc8no4N90IwLHlY/QWFnnj7eo7ffbzX2D/xRfzvp9WpmKnXjzKvn0qShpv9Yk8F62QxurKCu044H84dZr94wk/d3SZR2+4hlCXI1qhR6yb0lzXJctztnRfRCRK3IbPgysc3a9gJO8rO//s0DodhRD4bmCrS3lWkKeplZY3G4rBAsIwnAKp8zwnjgL9OYI4jq0wkKmWNRmQFsBNErrt2D7QrpDsv/gAn/2s8oF43/vex5NPPsk999xjj5XqDcIA9k0A/3zHy7GNOw0cE0Jcrn91F3AI+ATKLg4u2Mad17jvxutY3b6NB7Rqzg9iPPzaW9jauYMXf/zuH9gxv9/x+m89zMKZsxz4yJ/8QI/7kcsuYbnb5b/tvdDL8HcxXm714ZeBP9aVh+eB96MWmj8VQvwi8CLwnvM5kDUN9X2yJGOiQa5jJ85S6Frynv3bWD2TN5RoIsstB7W7NUuUgSstYjwej8GpnZKDMJ5alU1LsxlNgw4TKTQlzptcd9NWXUcOgerA01FKWRQ2jdmxYwfLx49z++23A3Dkued59Nln+PyrKlg7jfPRPyNo93hdmnHX/ffz9Te+kfV1FWylowFba2eZnHmeK4+d4jWPPsV9117Bi3tVnXqm02Wm02V+fpHxzYs8/a67qUIfD+r0p+GSZNIiUMpLnuZttL/5ILv/6E84+WNvYeuGa+z3r41kBK1Wy6Ye3W4XLwjtTrl7zz5mZuZYFg7BJz7Fk2/5UZaPKgyl1Wnzufu+xO79+9h/6An+w5e+wDfdt7N5m4ocrjiw14qK7H/8cf7FN77Op66/jkP79yOrgv7GOp8Tks9dfjFBJVhqtYlDo9Rc2H6Udq9LkmeMEr3LpgnCKZGuRvlLSZBXVDrKEGVFUVQUZT0HTHQ3yQaEQWyNdSRa7t+pOyqHw6Gda3Ec187Y2hioqsqpnwudPiVJ8hLXaSMeW5Ylq6urdHWvixf6bN++nffco6oxjzzyCDdcf4WNJDqdDsMNNZ8XFhaYNJy6mtWi7zVe1qIgpXwEuOk7/Omu7+c4QkJs7NUdB68Vkun8XMQ95rRKD06L0fCZKbJSkkxsvjY/P6/chHV5c3MwsjdnsDXCj8IpK7DNzU170UxYbcMsRyB0/jk3M8/a2hplrl4zykqiwKMXml78iknlEfZUyJ/kCTOUhJW6WWsbK2zq1uitUcq1112nKNnAq665jt7sApvaf2KSZGxtbfHGD3yQHRsb3PbFL/JxXXLKCsnswg7S9ZO85fEj7OwPuPvwMn/1xrfa7+RHIfGsqkk78/NU2nXa9X2lkaAfbI8cyhyJCVshL0ucqmL+Ax8hWj7Ozo/ey+Cma/EC33L4zed0Ao+JpoR7XkCaFRZMdUVAkVWcvOJq+jfdQuEH7NbXOUkSrr/2co4fP85N936KmbNnueLDH+Q3N9TCtzVcxw9VqH33l77Ojv6AN3ztq/zJ1lmSJKHd6RB11VzZ3u4yO9ezWEeajK2Sd5amRFFEpBeuxAtIJmNrI+gLh7bnUVVqrhSU+G6Fn2u6deCxlql7FvfmGI4mOAYzCgJmFpYYbm3oazctvdt8AOM4xnEcNvRrq7JgMBkTa5zEDbSeRgOYhNr3oTfTpq0Xuj27drC+vs6JE0pK4E1vehM7dy3Y8vY4TSwvIU0neK5jU1rXOX/lpQs05+9zvHky5jPHj3H9yTN/p59z7w3Xc3Juji/rTstzx303vIqVxUUeef3rfuCfvfoz95Ds38Ppn3jbD/zYzfGN19/Bibk5/kLzG84dH7vqMl5ot/jD3dv/Ts/jwpgerwiasxDCiluUpfL783XpyPdgUwNp/dG67SoDhew2mWRSymmGY1iXGD1fiWCYVVwymvIwDMJgysSkSZc2pBDP8/jfh1tclWd0Dz/LF97+WvU5cUxR1btFmRdkmWBdE2kc4VpQrptVygWpqoGlmU6HPTo/Nm231a238BRw6dwcsaYMm0YbXxuWPLixwdbKmhJPARYW5ok6LTJhUPIRXe174LoCR0grTFNVEhrio0IIPNfDqQTpa2/hxZteRTYZ4jLtjWivjajJXJ7nIXFsM1lVZJSlr7879No1Jdxc05lOG664nPtffwfRygrX6Hv24rGatv703ohvzc7gBwF7UQDe4uIikd5l+6dO4iAINPNwtrsEOmqUVTHFOvRnZqmqwqL+slJENaHvg1FzNuBqIWvyWpqm+ry14W6SkmXJFPDaTK+m3MQwitUte3+TJLHRDSgtn6ZS01ZfpU87d+5k+9IiV1ymFk2HiksuOsh+7SW5c+dOVlZO2NQ0jIJGmVQpPJko5h+cwaxwHMtTEEIwGg1INKawsZGwuKR2ipXVUwQzizhuzXUvK6zy8XiSTpUVs2TDcvBd1yVuRXWpzRG23g4qrM0bgpphGNZOyEIQBAFhGPKflrbzK2tn+fw1VzBjefQFlRDWvyGKIjqdGOkb/CK3ZdSwcgijAKHLW6Fw8dxtCN3XLwoVxgd6TokyJxupiV1lCaHrkOruxVarRXdvizg0Uuw+WVHY90ZxbIVZkSVVVVjuAWiFIOqH3bQT2/tiFlTP02VXbTBbTIuemmtpfpdOxnaieo56QI2aUKa5IYFe9Hfv2kGnHdt8/NIDe2w4nGUZW8OBzbe3hkMlva7vd6/bpswLQp1u9Dodi0XJsqLba7NdV0S2sowtP2A8Mi5WuWK1upm9toWsqGLTap3jB+bfKZWsW6eHgyHj4ZAoUtc9CIKpdnioMTLzf4O3SCkp0top3Vx9K8/nelat3HVdTpw4wRlttvwjN97AoUOH+NIXlZpzkkz41V/7n6wosOfXGFmWJVNpzXj898Bo/EGOLM0suWL5xPNcfull3PfZ+wEIPIciVTd6brbD1nBY6+/7HnG7ZXX/DdhnJu9kK21wCUKVc+vJmJcVwpGUVe3xJ7Voh/nZLCBG7jtNUz4OfPHARbx+105u1+dfFAWlEEgjge7q1V8vBMLx8PS/Yy/A8TwrflJqKa7JSFFm08mEcZLWN7Qq7YSKvYC43WJDXw+zyxmyS6HLZJHmCERhSOAbrr9DVQgr4a7eIrDTshJIIadKtGaca2Ov6OYOFVq7IE8RwsUpjFz+mCrTpLEiwStDXN2YFboCx6nr556jFr5Ug4utKsQ1IiOuwG1FVlVbphOSMkfKpkZAhe8aazRhI4GyLEE6Vp6s7TkUSWpl6otMgiytRqMQQus2aNC6zC1nYVgm+K5PS++249FI6S8Y20C9KNhyd4M+D7oXojL0a4fAi6CaBrGN+I3rCjythL2yssL2pUVG2onr4Ycfhqpkj26AWl1dneIfNG3/wtCn1Wo1Gq+m+3r+pnEBU7gwLozvMu4cj/nL02f40e8Duf/HMF4RkYLjOrZRx/UEWZbwb/6P3wDgM5/6ojX2PHz4ECurz9vVvShUWCobzMKtrS27y7bjeIoIUjRk0BTxpKbBVg1TEJiW4wqCgDiuQ9xzuyZd4SA8z+7YopSasKKrAFKS6ypAlU8YJ5vG5Ig4jpnt9ejEJlVxGSe1DwJO7QlQ5ClbmymLunV2MpnQH9ZNX77v0+v16LYUI85xHCqpj1NVirBkyToScC2DESnwAx/XGK6WGWavM81h5pySJEXE0RT+EoahpXWXRUaWqus+GfTpzcwgcxW2F9ojwbL04pheK6QVKOEckeUMNQ6wurrK+uZGnbZIZRrU6SmEPcvHSrXIpAxS0jbU8zAkiKKGE/aEqsytcE6RKYam2RU9RyiXMP0dJo7DvxoMuDLP+TdlyWfjGONdISpJnqYMdPmy1+tNRVPNxjpDB58k9Y7uCocpr8CqjsrKsmSsv4+hSBv267HlF+h1OjZd2LFjO0VR1CY0ZT7Vzt8k3MVxyPmOV8ai4NQ6e61WizBSpi4AG2trXHzJAQBccQnjSQ0Grq6usr5+1raFXnrwIOvr67bDUklmqXxsPE5wg1pFOStybQ2mLlpeVC8x/DDDOACZunXg+3iOY1WUTW4uTeeb5xD5AYkGGj3PsylOr9clGNcTJMsysjSh0kFyux3i+h55WZdIrZVbUZAkCWta/t5xXaJWTKxpwVEU0et2LfCYTCZIzXCrqoqqLK20mSMEEnCEkRNXqZdAEH/jW8z8wR9z+ifexvCma3Fd1+IKAE6aM85Sex+EEISBZ+XbZJWR6RRnuClJs3rihmFIq9WyVnep5ofYxTkdW93E+dkOnU5Ug3T6npn70IkDgiBiYADAvLSTP47bVGCdtzxX9SaEJn30HHLPtSXZyA3Iy4JKO0T5acLvLi3yP6+u8x88lzLPrSlNlqn+FS+o+xma36HJUASjDK3+XeYFScPR3HUcXE9Y89oyT2167DgOp06dYmNN3e/ZXoeVlRVbvnRdh9m5lpV4j+Oa/TiZZNbm3pzD+Y5XxKKAgL7Om1zPo9/vEwVqNVxdO213s+3bFog9aOta7I6FGU6ejC2yf801V/Hggw/Sa+lcXl9cNRRQZMCwWqvPAEFmha319swFHo/HFnMARRIxxCnzWlHV8m2eq/rp/bD2GChs74OH55V2RU9Garcb611HCoesyMjyGtnOGnlymqbM6YekEBIR+laCK4oioiCk0nJmeZLgRHUkVFWltVxDL2RWxhxBhXrAZ//wwwRHj7H9zz7F+ObrrWiMOee8lAxGA9tc5aKszwrdc+JJidSLYJEntP1ZWyevypTJuLBagkYq3QrbloW9J44DiMriPnmhwLyRBs2WZnq0woA40DaCRWmvW1EU5KW0oKXjFlDWvQ8WYK1q56aqKK3ISlEUfLnX5cu9LqdWzlKlGZXGMuIoUniU6VfIspdIwDd1G4bDIXE07RlhdRuEwBMOVYOO3HSs3rNnj5XsjwIPISve8Y53AHDixHEeeOAB7r5bsVZ7M92Gv0M11Yvx/fQ+XMAULoyXjP7P/zTpwX2s/OQPjyJ9YfzwxisiUpiMxzZEHAwGHDx4CS29y25bXOIbX/8qALe/7hbe8uY77W7e7/cZbG1QaiTfERVVmVlaaOXVqsJK6KJWYpKyJAxrOupwlE5VH1SlQr231+tx6aWX2hD40UcenmqPdYXA9X2EqA1QhBAMNBrd6/Xse6MoIp0kVlQmL1Ldsq0VfHEQjmd9Cl3fo9BMSuG5lGVJS7PwKlfgtSK7KydJwnA4xJe16nSGrlTIyvolgq476F0KtPFpGOLKivINt3Pm5utIxwM8apnyZmVmKtUqFYKe6ojOFdAWdbdiVea4oXHb8nAcx5YkA1+1u08SFZqXWS1O0+p2aFeVNT8x7cnG09NNU0okhQ69SVImiapiOJ5Du9222MXG2ilyvaPbYzkulUn5qoLQ95kUtbqz65p00EMmaX2/XVfxGdyaL2PeY17fTEMnkwlFUV/nsGEkYyKHZvnXfM78/DxlWTDfEA3qdDq27f5b33oAz6+sm1qSTmw5s92Opzg8pnx6PuMVsSjErYhMKzC3wnmKVCBidfOuveESysKUBlMOXLrPqtgsLM1zZm2Fk6dVx+HzJ07TWtjBk8+ri7Z9cck+bGmak5UF3Y5KPaqqYjAaUxSGXupMlSyLPLXh8mQ05vFHvm3Pd3G+Rzou8Bx1rFFSMtORCKFtz902+VZOr6M79oqJVQKeDEo8XztQASIKKFDy5epzEzzXIQgM8ChxqTsbA0/g6O8kpESmqZ2MLQRVw1OgoMQpjTWyg+/4SK3ebBZIqfUUAjegSqUto1a5T5mZ8pzA91168zp9EBOiibD8kCRJmOn2GnmyZ9WREA5xnCFKTRJzIxzHYX5e4T7Wt0H3EZSV1yh/NkHRRiersaavpOpA1fiTkA49vfhO0ozh6lmEvhZxEFKmJa7uffDjiFwICx6XWYnMClqeVkMWaY1HeB5xHFudiqrSZVqdemTphFa7bbGfIAhIsrrUHUQx40ntOu26rjUBFsKhMpoO+ju6ek6Ot7ZUt2peW7/t3b2LtXXVhh5Gbd77Uz/G0eeO6s/1uP7669XnohZtVyOavvMPbFFAMuX7oABE9cXjOObMad0QlKY8+uij7N6t2H/jSaqEN3RfwbPPPcfVr7pOsfWA5RdenNIF8NzArsJ5qaoHhgOQa5sws0tFGhADhRY3BV8HgxHlYonQu4EVNtW14NAJCQhsvlqJCsfoGFBRibpluUmQgrr60TzvpkScYhc2peGmOQXTsnHTrzlXG9BMUFCTN6mq+oFr+CoiJVQSV1u9yayYOj/QUngNmzVzHcMwpCwLSo2ZlFWB4/o4epd1XAFCWhJPFIRTi0BVVbZios6/tNc1jvVuONZVkQYIXWjGYlM63ZwnKPJS1ogczL2vNDNVOhLLzyoVHiUcs5sLtYjaVnqh3KSL+ljN6kPzejTBSPNeR9SRgmrB1lGWox5sIwUQTUakeUGmRYQGgwHPPHPYgum9Xo/de5TWRm/mYrIssRHq90NeuoApXBgXxoUxNV4RkYIQNTpaFAWzs7MsLCh66szMDF/9668BatVNkoRHHnkEgH37D9KbnbMh067dezny7PMcOXIEUCGxyanSIkdWAtc3X1nx+c2+aeTezU7jCDGlXpznuV3l01SZn9TdcKqNWOqUoCpKhKhZba50bc3fcQXSEXYXdhEqN5W16CfU0UGz5m2R60bLtnot9meJY8ubFRKvgYhLWe/IKuJgKlLIq4JCo/dVmeI08l7f8WkFusrhR/h+MrXrNUtyWZZNSZVVlV9zGvJC0csRjfOoz9HV/BEAKSoklb2uVBVU0v6c5oXtfzGf1YwUmqVB08tiW8W13J5Vc9ZRk2wEQFNRVyXB3EXhglPimOss9fFMNFS6UNWf08SqlNtWaVuphRAIV0xFNIZbEwQBrlNzDQb9DYIgYJ/ufbj11lsZDvvWhToIfc6cUY166+vKMvGaa5TGpekBOZ/xilgUpJb3ArUIjMdjdu5U4Va73bY3+vDhw1xzzTXccYfqvT9x8jSLi4usaGu4kydPcuONN1qcYHNzy3Ldy8GANM+oK3IlRSkpNZdgbm7G3jCAqiwb9nTuFHlHCsiKgv5AhWTb5tqIwLcPuqgElSwp8zoVMOpBCBdXuLYt23EcBMJGqt9NEu47/e3clMMAVs2FpZmeKB5C470N0kxVVXRneqSjCa2vfZP53/8Aa+/5MUY/8mr70Ns0Jq9I05zSKDNJQVFWFr9ROXdt4+4Jx1Kyi6LAy2tHZ6esbCkUIMuTxmKnPlNSL4plVZ9HMlLy6c1Upr4m1RTQlpXZS9KFKadonW7kjQXGlK+Fo/xIDLZVFQWlUwOiAPgNfousFx8pU03umraWa6YL595vc22MLmasQcJWp0fg1alJUUnCOOJHbr3Zvv7MqsLXnnnmMLfddhuO3gQ3dcn/fMaF9OFvOW5aWeGeP/gA+5957od9Kj/wMf9fP0j4wjLzf/IXP+xTuTB+COMVESm4rmNRYKNAa8Kpxx9/3K66+/fvZ9++ffi+WqGNoMQerXw8STLOrq5z9qwCJrO03vn9MMD161KQcGrtRoDhcDBFUJIN34coCDX7UUcKOPyzF15gcTzmxq98lcfufC1CYnf/qiiReLY91qXelR3Ed9wdmp4BRskJmALL6vcY41OjDVkTnUAgbJnRRVTTO5I5gpRy6jtWVUWIxBWSzff/DLO/90HWf+rHEI5EVoI8L8hS9X2Sc4BG3/cpG7t/Myyvqkox9owGYplTli5uoasNQuLi1qAmdRu96q4sG5FQSZVnVHktgtv8/s3Wd5M+mPM0f6tTsWkdTptmmCa4MqNsRFKucMAxzVMFnnBsFyXSwXc9pKz1ETEamFpRunm9VHSIfa2U5RTj0Go9ttpUeVa7iRUFbrfL/KIi61155ZXs3N6zpfNPfOITltEZhW3CMObQIZVKfyem7ncbr4hFwbg1gcqjzpw5Yy/S0tISBw9cBGBdiuJYVSomSUYURTj6C49GIzY3N+1FdJ3QsgFNKO35hgYbg+Na3GA43JpC433tNA0Q6sXEUqQp+b1du/iXq6vcd/VV7ETffF3jLqqC6JxatBnm4awp0poz4JgH3Z1Cr5vDhtXmZ9MdarAMKXFE86GaTi2qqrKMxrIsKfMG3dZ1ydbXKJOM8dWXc+bf/4ZSXB4OGU3GbI0njBOt8FPk+F5tfiOEoKDu3c/zmj7ueZWigDevRSNNM8PW+N06eJWVUC3LduHKqcrctmE7jm85E+YeW9dpLTZb62fIqfTQ/L0O59W9F15DI6Ey/S+C0PcQ2qyXICL0fBydEgA4voccG5Zig3egu0Kb97C5KJiFqand0ZSHN2xSUEpjsip56qmnADhy5AjveOudVk/imWeP2ipekox5/oVjnDylyvN33XX+Ymgv1zbufwH+e5T6xOMojcadwIeBeeBh4Ge1Ucx3P47j2Js3Go2Ioshe1CiK7IRpt9s6CqhJIydOnODUGUXeeOTRx3G8Wmii25uz7axJklCU0joUT3RPu9FxKMuSyWRSa+t1OrVrT5VOaei3Wh2+EnmsXXIQgHdMJviBmAKTKMELa/DIbdBqmxVFM0lkI1JorurNxcESXRxNyDJdNWZXqiSy2eRVMgWs5XlOoaOdPFfNQeazgiDAzQtL893a3GSkMZP19XVWNtYZ65bm4WSMQ91a3iSImXNuqhMraXVD83WBCiHrhcyVArSUm2gSrGSpRFPMg1uV9j+AohAvWTybEUqWZTYC9SN/asc2oGNlI0dnKoIrqc/Dcz0cz8fT0aWoJL4bUBjNCyHwPZ/cqx/sc0vLVWMBlVLapj5zzk2Mwbhdm/syMZwHPVeNzGYQBPzlX95r8bit/oTxSN2jAwcOcPXVV/PssypSmIzOv/fhb40pCCF2A78C3CSlvAbV9/XTwG8B/4+U8lJgA/jFv+1nXBgXxoXx9z9ebvrgAbEQIkf5SJ4C7gTeq//+h8C/A373bzyKlHa163Q6jEYju8MfPHiQoRbj7Pf72mFX7zo4HHn2OUveyPMcR9arvTEnAQjCEK+i0UU2mQo3wyB4iQuSGQ5Kq9+EZkXgU02GrG0ombjBYETcqpWJhFRsQ4uwN9SN1Netc1lHTGMMBhU/N0Iw/y/LEld4LzkevNQxW0UsdaRQFIWNyNI0RZaV3eVd16VKcttQs7Gyxvq6+n7rW5usDbfIRV3qbHv+FJbRTAfytO70832fqlvL4gk5jbhLptOrZunXhNLnpmHNiKQZbjdbhc9F+Zv4gvm9yv2n06tm+bdJPXZ9H9dUV9KcqigpHDNXAp2a6gg2k0jjGaGP67jTKYTrNP/tTEUKlQ6sJ4mS5rPdua5SGDdzeDAY8LrXvJb771eCRFHUsqXOkyfOsrHRZ1ObDRsS0/mMv/WiIKU8IYT4bZSM+wT4K5R13KY00jjKMGb39zwWDpnuBEvHI7LxgJ429UjHIxxtqhK2uhQyteUdUpflY8dZXFIOUvPzu3j+uRdpxaYMNa2bVxSFrQGrevCIWF8sWU4IAw+pL8n61oBeWy1URZ6QbG0wr1uyJ+ORUtOJtCycK3BEhEg198D3qXyXUtexHdejMLV3KgI/sDFaXmaAQ+Xojjbp4lQOpdS0Z2omnTqYBGHq9Il6KEzHZ1GSV5XtZ/Ach0pfO6+qWDtzhhMvvADAY489wWNPPcVF11wHwLvuuYe1k0fJdHtw4ETkBqT02gyTAaf1BMsdh6iV4+nvN99qEbuQ6mtb5jmpLsfmhcP8XIe2MU31Y8AxGQ+OVMyKstRKVNV0DwGV0o5Uw2cyyhDShPEFRZYb/I9AM0vNdU3z3NLLh8mYEux9KGWlUzYDLCuehcjV37tRj1evrfFrgxH/cV7yaWdCN1YM1ygIiDzfqk4nScpkuGGveykl2smOrMjxw8imR0EQ6JRGfU6aZcx2e4R6Lo1GI3pdNRf6/T6OxMrWl4WSnnOEupbj8ZhvfOOLlvG4a9cSa2uqJJnlYw4e3EOSqL+96c138Sv/+rc4n/FyDGbngHcDB4FN4CPAd5L//Y6826Zt3I4dtd3kuTm1NEic/lsr7trVbzyeEASBxQWQLs8++yxeqB90p25DNYKZZpU17jk1ISkF4eLpuq7XmGBSSoKgpkiPtgZ4nZhco8/99Q2KuQVK3R6cVhLHcXGMfr/r4jqNnbKSyIYMmOe4eHHdui2EqJtszr2YUiKtMIqkagrMmp2bevezbbhpwmA4ZEX35q9vbLC+2Sc5dEh97mc+w6uvuNhWGLyw5mUcO3aMp597jnUdvQ3SCYWs6OmW7csO7GfPtgUcp0HhlYU9h+YOfu6uX1WCQtbEJz+odzQT2ZgIzDkn70dM+21IIWxPiYmMpqX75VQU8hLJOSFIs8R+9q8NRlyZF/zaxoD7ts/baxmHMa0gZJLW/QxxHJMb8takPucKFY0a/MeQvAz4KKUkyxNbyWi324piDVx77bU8d+SwnbOtWInGGOlCV0i2Lczaxq1Wq8WePWqR37N3F/v372Vhcb7x/c9vvByewpuAF6SUK1LVYv4CuA2YFcLGt3uAk9/pzVLK/yylvElKedOc9im4MC6MV9L4nV6Hp3yP/zT3T2t+vhxM4UXgNUKIFip9uAt4EPgicA+qAvHznKdtXBOtbubzVVXZpcvRVQqz6s705jh27ARL21QTyNmzK2zbvsj5EZMXAAAgAElEQVSxE8r41I9qHMD4RJ4bhVh02nWp5HTpzKQanqiYabet0nEcx3RaLUItIbeyskKxfx8y0jLmuvxp8jvAyp8rJaXK7ubonS8ZK9yk9P0pvgTVdE5tm4KojV+b+bzjOLalF8dhOFRMtirLlJCHRtCDOFIOzfp6nD2zAldcanelqsJ2H45GQ6oiY3ZGhaJiCP3ByKo6lbnCJ0w0VJYlaaJ20b7vk+dzpLqqkbgJZenbLkHP8zRl8KXlW1MhaDI3z8VamvV90x4PUDT4CaBa0M/lf0wLo2icQho1KclX2hFfaUcI10HkmRWRyR2Hwqu7UdNCqXUL/ThlWUaiKwjC9XAEiMb+67g1b0BKpSRlzqPVisg0hrD8/HO8613v4tTJEwA88MAD3Paamy2tf3Z2lslwky984QsALCzM2dLjnr272NraZI92D7PR9HmMl4MpfFMI8WeosmMBfBtlGPsp4MNCiP9b/+73vp/jNvv29edMwXTHj520su1SKBrrQw99C4DhYEJZSgLdZZZlCWky1n/r69JRQ5XYc2w93XVdHByE0+ga1Lp6jqsWglw/MFHo02m1iTSwNJ6M6hZgdH+9U7f8+q6wIBSO1GSVRkeddK2GI7LEacrLu8LStgstR2YUiQ1g6ZrXeu6UqShApPsVJnlGp9vlDi/kwCfv4/Q972T9fe8nR52zdBzcdMQxfbVXV9etHkQhC6IopKfD1jjwmen2mJvtceN6n5995iRfCGLu1yXY4XBIW/tN7NixYwrgHCNw3ZRAX6soCojDCNepr139wMgpKrJJCaxqVinIilqWvwk6Ajiei8iaZdKXpi/NRaGqKkui8jyPyNjCVRVOhS3XJpqAFmmcJCsqHMczimqMJylD3Xbd6nSJWx1ynZZUFmTW2hOuKlYnep5KWTKeqAd4dnaWr3z5Sxgz4O3blzh16oQtM47HYy67+KDd2Obm5jh+4kUAjh1/AccVLL94FIBdu3ZwvuPl2sb9W+DfnvPr54Gbv99jNdF3mG4IMrctz3N27NhjGYvHTpzk1KlTrG+oZo9ud4Y0yewDOLewaG/+xsbGVBRiclPr+zAZ4Lh+Lf4RBJSmPiyq6Rp2kiFkaR9G13XxQw9P54VpljHJM+IGEcdw/9GIt/lZCtWW7NlKhaQqcstbsB6QqB2oLEukWUBcZ0oMxvM8pCNsHl1VFb5dYB3cKOKiT3+R1onT7PnEZynufAPRNx5i+4f+nBfveRfJtVcTRVrqrVoh1+Sd2fk5XN/jNeOMHz38PJ++ZD/3b5ulFQf8zKHn2TUYcefjz/DV6xRvoxXFdDVYFkQ+SMfauOcipywdS0hyHAeHWtJeipfOAUs4Osf8x/A1CiM2W5VkGvWvbFOV+vaKGTld5XGh1nEodaOSfr3nefiiXqi8SFgw3HVdHM/F0/hHx/UQrkd/UNvPYzYXr8a01O0XVFWB79Zu36Hv2gc7z3PmZ43mh3I3P7hfSQUsLCyQphMGfRX99ft97r77bnutu92uxSaKIiMIfR577BH7t/MdF3of/omNU+95J+N9u1n/GWVSuv1Df068/CJ7PvKx7/neHz38PLu2hrztmaP2d5++7CCnZrp89rJ9f1enfGH8PY9XBM0ZptHRZhjYNCFJ05SVs+v8/u//PgAL25Y4deoUl1+h2kNf/eqbuPfee62qj+cGlu/gCgi8Olf3fZ9UVraeDNP19iRJ6vzVVbuVoZsGoqLb7uAbIc9Y9UaYPFZSklc5QWXES1ObSgjpqvzW1KmpFONPf1RZ5BSNvLq5M1oEX/cN+MLBEw5eo+22pP4OeVFQpIn92+zcHPLNd3DyzXdQFpIszVn9mZ9k6b99hPX3/hSV/o6LTzzF7X/5V3ztpmt44eA+cAT9jU2+Llxe9+hT3H/dVVx9+WWkyYT1bdv5gysupsgnXByocLoz06PUU0tqxmZti+YBFZVWz0qSxIblAFErtFGD6VVotmQ3+QaCCukIG3U0exvKCvKyrnooEZjp6S5E3cJelgpjqHRnpCdcu5tTKHm3TEdoRZmRly79fqbPuY0AS68vpaCtJeSiKGKSNgm9DcEYAFEhhGfnRxD4FteYmZ1BCGEjgdFoQJ5mvOnNCjeYmZlhbeUsi7rCEISeFb198tATXHvtNdx0k/J//gcn8Q7Ti0KzhOU4juX6TyYTPv3pT1tM4fTps7z//e/nlFZmEkJq9Rz13jOrZ+yNMqQYc9wgCCzoB5pkI2s/gnSc27oznlB58pLSeNi+axczrYjLDh/h7sPP8cCtN5LlCXlRPwiAle1ugmFupXN+E7YaLsN3KZXJsrRqvoaPICrN03BV6jGlGdAouwGEGlNI8oSqyikN4BkIIjdkfPutLN9+K8P+kHRtlbKUXPyZz9M7u8rtDz/J+LabCQKPuV6X/uIif3n9NbgSimFqSVlx3EJE/pSmoQHdXD/AdzgHJxLW8r0sBYIaQMyK9CXt4U2nrqn+haKaandOi7xOF1AgZNEo3zZJY+bYTdKQlBLp1OmFp1OASjjquzbAy0pg+RJFNSTLS4sj+L5vyUJmzhmZP1NCNW3ZeZbjyLrpbfv27SSJSg+2Ly6R5ymHDx8G4PV3vI44jvnMpz4NwHXXvYq5uTmeePIxAPbu3ctNN71afzlJp9Oi1VLnYTbH8xkX0oeXMe4+/Bx7tobc/uCjP+xT+YGOZ956F/2d23nirtu/94svjH904xUTKTRHc7ds7hp5nrOysmYdc/7Hu9/JI488wvLyMgB33HEHX/7yl60pSRzHDW+90PpBms+Ac1DoBs2qKAo83aKd5zn9bMKsNp0J3Bkcx+Hjlx3gXUde4LHX3jxdLtNgn1VobkQoElUlMFtaUamym9MAB5s7WJ7nNtpRqsAFizOK7GVKdo5u0Zauo4CyBj03H6v0wXVdcCJLmsryXDlK692+KAqCIMBJJ6y96io2b76OnIoZoB2F9NodEq3eI4uSys8otetT6KFKpyY0dhyrk+m6AtfxrBmKpZZXddXHbTA2B4OBbR02IGoTeGymU0lRTVUjmuVLIV5K+24OKSWSGsRuRgzAlFckrjquAXSlkAjPZbat0tSt4YDBeGTfG8eR1eBMs9qMp76/EmMRpaj51ZQMwI4lNc82NjZotbazU1cODh06xM0338Sv//q/BmBtbY3xeEyn27LHevjhhwHYsXM7UkrWtJ6jOf75jFfGolAJfAP7khCELo6vUoSk6vFFLcf2yU9/kt/8d79qy1fdmR5PODk7tqucynMle/bsqlMCt2YG9vt9PMdhtqeOG4c+6XgLXyfzw1zlo6YtG+Fb1WRwGYwKVidqIl/plniTEc/v2sZ/3LWNS67cT1dmBC11Hs5E0qo8MkelIh7gu/WEKtO6Zdn3fTwh2Mq1ZToObl5R6fz11ImTbOoa895LLqI3N4MRkavcnBKQRkItV4uf0ZvIsgy3o1DnsiyhKCzXIvKmKxt+GNKvhnQ7yoRHVhUt/WBHQUgexlT6IcnynCDYBJ0ukUuqrLBirKNJgj+jXZ0caA8zK8OeFQU5tSJUJBw8zyfU+X4JrG+o8DkMQ4QQjT6KSFnFuZpZSMXaeEyhr4cb+BZDSScZFBWhmVdhqDQVylqLQThKIQtUuRchmdfXzvM8Cv23sB2RpKk1svUdgYtLINRrZ9tzbA0ntovUDz2E1o9wHUgmIzxXU5VLqdu01bHanVmyZMIkVZ/1wvIJxmPVc3LttdeyfWmRhx56CIDLLruExx9/3DJ6f/qn3sOLx4+xc7fi6RjOA0Cn00YIQagp0mZjOZ/xilgUhCOsrqDjOOR5bneLdhTz0Y/+OQCXXHEp4/GYKKw9IpaWllhdV5NoNBrpiV7nq+YizczMMBoMePvb3w7A/fffj+/7VrvOiWNNhVZlJdf11UQBkA5RFLG5qW7WaNwj7rbJJurGr55dY+/FB217tB+4uIVTA4/NBqj/n733Drbsus47f/vEG17u9/p17gYaQKMRGgABEIEJlCWTEAVCsiRbljQ0ZY/sqdHY5Ti2a6qmauyxSh5X2Z4ZT7A9lj2esimKtERTDKBAimACQQiRCA2gc36hX7r5pL3njx3OubdfNxowTbas3lVAv/fuveees88+a6/1rW99yxuO2KwHMW64FZ1WmyLNWTKy9atrq+y5UetJTM1M0+73HDfJEnCqh6wWQUkpUcZTEEIQCkFJ0pEIhYub/dijmcR4yoKjEhd+B4LQj4iD2L3WCCIKq/ysMjwvoGbo5V4hEKZ2o9dPKJR0vTqzIqeflj0U+p5PM65RN58No9AZ8k6nw/T0tDMKnU5He3A2jZwmOr737DWV2EUQBBRB4HCAxACUpUdgSF4jhVP2u6IoKlOduXQ6nQBRLSaKImdQN7odur0eBjvFKwpHsPOAelyjP8jdeelj2i5YOq1s17sQgi2mV+hYo46H4O5DdwJw7MhRwsBj65w23N966hvc+Z673RpvtdZdYWEQBBqDMdfwTgqirmMK18f1cX0MjWvCU5CypKsqpWi3N2iZsuQTJxapm2q0/+qXfpHJWunydjoder2Bs45Hjx5lZmaGVssU7nRazjK3220mxhpux77hhr0c7nddrNXJsiFBF98Py1i+pxvDuAKhCwvcsPNeAuMS93o9GrU6A4NXCELS3EMEJXtuSBkYhjIGUkoSc85jjQavv3ncocW7b7iBLdvnAVjvtPHjGoUJLTRuIfBtaGKOR4WV2TBpwizLSPOyLFkEPh6l/FiapUQqcFiHVAWJ8ZTSvCCMItcbM5bgy4QkNZ+VGbLIESaM8bLMYRV+kkNYEVEJfMgFqRHMzVTmJOr0RZUqVFG9xkanTc+EBI1Gg7TInQipp0xWyfatVDqEAPALhZeUe15RIQ+BFlXB8xyMZNOmtju0EMIRmeyts2tJh2ghgWkck26sgR84dec0yZG2i1eeE/qRE7m1ayw3oYYWzSn7inS7XXzzhW++9hq79+zkzttuB2BlcYHQk1xcuOCu694H3+vWsOeVHoHFm/ygFCu62nFNGAUhhKtRCEPd/CI0dQW/9anf5OGH7geg115jMh53PPogiFheXmZuXpdOP/3097jhxps4Z2ofoihyx52YHCPtD1y+NssyHnzwAVeLnnXatFotVyUYhqGrV6jFIQJJaBbFsTOneewjj7Jti8YQep0NtLZSyXgLfZ9CDNOR4VLwy6kpDfSiWFg+z7kzZzl0zz0ATG2do9c3sWq9QW/QZ66h3cskS4dSfZZObDsMCSHIvLIzNAIXfxepbpNnJd3isQYXzl4gNDFoVIsJTIm6CnyIIkKvBM88pWNnfb1jqKIoZcqzxIU0ke8x6CcUrlRcq2hbIE4VkiTLEVJf45atW9wDMjExwdGjR90mcPvtt+OJgMBgCt32BoiSwZkWkrpJweZejqxwNjzPM4pHTshgqHzXKmC9v9vll84t8Ft7dvC9LVPus/V63eEAXqBl/NJMX2+729f0ZVv5KIsKLyMk9AOyfHPxsao2BOh1aR/gbnuD1eWLPP300wDcd+89DAYDfveznwXgk5/8JK+88goHDx4ENBehTH8rms2m4zzYhr5XM64Jo6BQLn4rioJGLSIwNQpnT5/gr//Nvw7oGvmNjVaJECtFv584S97v912GAuDHfvwjfPvbug/l3r37OXvqpCty2rlrB+fPnnML+eDBg7z66qtEkX6w80w66qnv654QZTlsxNTsLLsnNUqc9lskvb6ridfdF7yh/gybyZBDmWnxDEq9trZGvdFk0hgcP4zommKpSPnUg1rZj6IwGgBiOAdejautZFhhvseqgPme7ofoJOfSlKBRA2OMVS3ErxSm+WFAaB6ozA/A9x1vIpcZgzzHbq0dOSDEZG5UQS4LsqLEFHIltceAkTrzfKwVWV5eHoq3t2zZ4oC15eXloRJ2fM8UQRldxix3XiP+cGRsS9JtbwZdg8AQ1uP7Pr98fol9vQG/eHaBF7dvNfdLC8sa7hp4gna7zVkjA9ge9PDCyNUoSBR1PzY/F87ggDbcVljF3iMP5dZWrVbj1KkzAGzfPs/2nbv5xte/DmgPZffOXezetw+A84uLnDh3zmVFbrvtVvezlaIT1XL2qxzXMYXr4/qojN/et4uTzQafuWH3j/pUfmTjmvAUqjtnoSQbG2tMjOndfuf2bXQ7eqcYm2iSpoKJCe3Wra23iOPYdd3dMjNHp9Mrd/SKPPqBAzdz7K03OWIqzJRSFFnOI4/oxjJnFxZBSofGiwC6luMQRWRSOiHT6ZlxLiytMG9Ckzius766wGxzzlwEZDIjDD33XdXwoZqBsAy9XkunHQdZxk0HD5BYFeosY6yud7/l5WVmpqbLKkElh/gRdhfyKtkHJy6qIEAQGMzAR6BS6SjGWZJS8wSZoclGKCLjrRVZTjxICSzNt9UjxqdtnJ8sl3hK4pnsRBhF7hpVrpW1hlSU89K9JvAJggjfzPvW2Xl3/5IkYazeoGua1S5dXGHv3r2EsfFYWrrrdGZ2/zRN8YIST/EqtHbha4k74YCC4TJtWxz33JYpntsydYl3p9eSEeCJdHl7q2/SfEK3AC5cqbxXtgPIFVmeOuVnpbRX0DRMwyiKSPq9sshLCPqp9rJee+MoaSaZndcpx3Y34bt/+AJ33qkxhpe//zq33nmw7Do9GDhPwfM8ut2uK5Cy2Y2rGdeEUQBcXBhFEXEcs2unrgP/+Z/9GSbH9MOX5gm+HwzdTN3hV9+M6elpzi8sUjOA2IUL59i5U+MNX//61wlCn+Vlnep74IEHaG+su1jrtdde0+6WU5Gus90AfL4fsra25sKJjU6Xrz71DWqDBwDYOtmEsHCy7UHkEygfGFxyndaVrJJZ8jx3MfeZ8+c49OD9FAaoW1hYYKyhuQZ+oWgtXiQL7PeEhuhUhg+jkufToUkTKpCDlPaSXkAL5xdoLV5k5vAb3PbSCxy+6z0M/uTDrtNRFAbExuVfOnOO8+eXyC7q9G1ncYXpC6e4/+QpnrlxL8f37iCcHKc5q8ulU9O5CEBkGa1ux93fpMhJ81JaPfA0GBoZ2bjBuR7btm1z19Pr9VyMLaUkSRKHE/mB7lDt+j5UyqhtybXdFIYVmMAy1UqJe926z6fsJZEZoFUpQZbnBAY4TrKU5eVlh/X4YUCWZw7w9X0fY1vxhMDzfUd930wBScoyVO33+9Ri/Z4dO3awuNJiaWkBgLvuvJOJ6S00TFn6G0dOcvf99zjJ91tuuanSGmFWhyYGcipbHL79uGaMggPMhGRlZYULF86ZVxRbZvQknDpznObknEPmpZSsr68T1YzRMHGUzTUvLi66yb7vvvv42pO/z5YtOse7c+d2nnz1FV5+WVOUlR9w7733uhLTwSBxwhRHjx6n1WoxZTQaNwY9Dr/1Jg/s3w9AUCTM7Zgpewz4AYqccJPZHZUUszt9ZnsLhgGtTtfl3sNancULelGQZMxPzzEwfQ8Cwk29Dlkpte6d0sJXKwtLrF5YRPT0axN+TFzAbc89x2R7gwPPfo/f2dokNC3KBhdXmH/rOPu//T2O79nJK2nBuNEvDJOCj5w/zmwy4IE3j/FsltEWEjGmH97cg/cVHo+8eYJv334zF27chxUttCIwmRNo0RLu0sij+/XYZX1mZmZYWlpyu1yj0eDkyZPccsst+vpNR2c7qnGz1S24kvyaEFWgDzzhud4daZqSZCWgHUURkcnkdPs9vQZtnUQQoNLM4SRhEJIaQRZP6BqKvGKoe72e01eo1+tDRXlCCNcGceniGvfd9x4mJjW+9P3XDxOHEd2+wZ/aHV599VWHk+3du9etQet51M05j2a/rjSuYwp/zMcbN9/GxvgkL+/af8lr+7/9PSaWL3LfW5e2xvve1m0sxTHfnp3b9LiPvHmCba0OH3j96A/8nK+P/7zjmvAUNCqsf84zj0Z9ivV1k6Ka2eYosgvLS9wyNedEVmamZ5kan0Ia9tiJ86c5cNPtvPSSrhpL+hvcdpsuq37luefxBSwv6l33N3/z/+HOO+/klz7xCwBs26EppDacOH3mgvseKUERkBfGbZcBfQSnjU3dsn0f7VAwYRSZPZWh8gGJmd4oKpF8JRW5LFwWIAg8hAhZMMzKRhRR9z06lqW2ssKgqz2WZq3J8uoivinLjTwfwpRAGJHXVpf2uQtcPHaa+bPnuOmFl3hr9z4WtsySK8na2gpTpsy25XlMNsfp7pjj+R0f4uSx47RePMo2w7N/5dnvsybgw1HIU80xWqtd8pr2orIEznsBz2/fp783Aa/XR/T0/KTpgP9Qa/DxQcoXxsY588ZxmtM6lx5NNCkCD2kyGUmWkPZT0sDm9VOXXQGoNRrOY5vdOsfy2ioHQssKTJASJ3nfCCJHl858j54vSGxNSeLh+T6eZ11+abwHc0/9mH6njzAxeS/NaJhMRq3RpDPIkIYCn0lYTaWj23vKI/YC5MDwOkRZwp3qBUA66LtrGh8fd95PURQMstR5To1Gg4Fp3DIxOcEr3z9Mo2ZSob6iVvcopPYMbrxpJ6FSHNyv70Peb+OZztiqgDhugkmx170/YjyFKqDTaDQIgsA9nFHYdCHAzTffjO/7zo3P85yTJ086TGFmZoZ2e4MkKUtYF40ROHDbQfbv388TT+iy0207trN3725On9byVX/w1LPUajVHe263u44+WhSKiYkJF7YEgVZZCr78Zf7axjoL//WvMvmnHmPx5BEAJhohYSjIKio+DnhTEikVSpapojzPGTfpzbAWowRDwBMGM1hYWKDb7jC9XeMkp06doru2huxod1t0B7DRg16fB44cZWaQsP/kMZ4LBZ1Bn/V+l4Ws47439kOE7UaUFwx8j1OHdbihhORYkfGN8QBP9gg8yfLFNXNPGkiRoAZlOq8zSBCFXqwbecoTgccTkzXyooN/coBY0PehiAO8Zo0xc71RGCJy6VrTN2qzTrcijmO8IHC/1+t14jh2RkIgL9FMGCpw8z08o2nhhQFS5O534RleR2JS4YFACkFgSpqbNc+VrAslmZgYY90oK509e44kzSm8EieouudV/QjQobHFQSzuY13+PM8dOAg6bJkwZKTBoIfngTTn3O11SNOBazUwNzvP2FjDhVD1ep007bnvqYLQ7yB6ePvwQQjxm0KIJSHEq5W/zQghnhRCHDH/Tpu/CyHE/yaEOCqE+L4Q4j1Xfyp/9MZf21jnYJZx1+99/of2nftOneMn/+W/Y+cmLn11fGfrVpbjGt/buvWK77ul1+cvXVjkln4Jit4+SPnvVzrcmVzaauxQmvJ31pa4c5Bc8tr18V/GuBpP4d8A/wz4t5W//R3ga0qp3xBC/B3z+99G93242fz3ALoz1ANv9wVVNL7f75OmKZGhkGZZ5lIujYmYV195k9179wE6BVOr1RC+6e7se2y012mOaddsY3WVaeMu7927l8OHD3P3e+4F4NOf/hS79u7hwQcfBGDuYpvl5WXXFSlJyqIsKTNarZbbsfI8Jy1y/unMFv7q2iobf+YXSNrtkpUZKEReONERfYxS7MOyC6ujZo7txxES4RqNiF7A9KwGR4WCh156nZmVNfZ/8at86q5byNfa+C29O2ytNZiO6xTdHm/h8/3mOK1eF3pdesmAWrPBoFf2Negx4P0ra2xTig93e6zftIe1tRU+vt5hPpf8XObR2j1Nt9MHFIKMn0n67JSKjw/6HKkb8dUgoBYobDvWDEXPXHq/SPFzH2Uo0b2sT6fdQi4uuXsfh5FrtLJv57wDe+M4RlQEca2nYMuBp2cmh7o6yQqwWIxkF/AFqihf9/F1VkFaIFKRFpLYZBiaYcCa6UxW1GvMzs2zuqG9rJWNFkGtTpHmQ99RZjL8IU8hCAJ2mSyY7UxmPeE8z4dEf6XUKXnQ2bQsS5zXuGPHLlZXl7hggOcPf/jDnD/2Ju12WQFZOt0mpep6plx934e3NQpKqW8KIfaN/Plx4BHz8/8LPIU2Co8D/1bpmX9GCDElhNiulLrAlYYqW8/XajXNPjNXc/ToUe6+Xze4aDQavO997+MrT34VgFsP3Map0yd56OH3AdBsjvPk177O7bfrPO4bb7zhMhErKyvs2rObY8f0Dnv3e+7jyJGjvPiCxh/OnV9g27ZtLlTRJa6GodfpsmXLFncjx8bHadTrPK0kT2/Zwj9/9FE2zp8kWdfpzmh2EpUmBM6olL6bL3TJruX3W/Vlv25bkmm577Fx7UIuLa+wZVobtpnJGc5+/FHqX/smvZ99jL901yGCL3+NvV/5Kq8dOsTa3DxjXkAxMNmHQY8pr0SfxybGHTrdarWYvHCWmbUuXaW4eMsd7BA+u2a2s9HNmV1YYmN6ikNjs+S1HCU9vK01OmfPkC8tsTo9zf2mM9dErUmWFnQMo28xH9Bt6KW1ng9Y6wjHl/BlyiODHp9Y2+Df7djK97dt5cH1Nn/61Fk+d+M+knqdRkMbCN/38SvCtFbd2YYP0zOTQ5JqQghnDFxLOWXdZ0kupWtOKyWgPCesmuOx0e+w1eAVzUbdGbkkTTl7/jwnTKh5cWWNWn18KL1YlZu352mHlJIFEz7ZZi6zs7OAkaOrdMfWlGp9z1ZXL1KrRy7LsbKygpSK0HROT9OMVrtNU+n5KqR0ylO6NLys7XgH0cO7xhTm7YOulLoghLA+6k7gTOV9tm3cFY2CrEyilFLfdJPofeaZZ9h38159sjXBxvrAgYdf/OIXefTRj3B+YRHQRU+PfPj9jur6/PPPl7LrRc7CwgKBSdF43oAkzVm+qD2Doii4cOEC8/Oam7C4uOxINLt372Z5edl5AhZ3WLuojcC/+f/+LQ2R8+Bd+rxarRZbJhoUTk68xEw8T3ciEu53naKMp7SnIAYReD6ezWf6HtISjqKQ5P0PcvJnHwcgbHXY/83v0Fxf567Dh/n27n2sra4RGwM7u2OHK9Kq1Wp49TqR2UqiZsyBF5OmdjkAACAASURBVJ+hmSV0p2dYuvUWdnS7qCxlZ/tNfKXYudFlZU9M2BjTWothnd2dNwiU4oZun/WbtOGqBzVaRZdeW3shaa9DzxQj9YuMboamUAO1Zo1fWVhgb3/AJ5dW+F8O3cYvvPoWOztdfu70WT73wfvdvNuHy97Dbr83pNGY5Tmy2iHKq6R6BWB0D/T9lwhPOW1IciOcYjaN3iDl3MoqIXrtzMyPMzOnQdfF1RbHT59hydDna7UGtVoN3y89gzRNh/CMUYNh8ag8z6nX626zsiXOVfGfhjEKXgKTk+Murai1H6RrB/DSi6/i5323Zn0/JKzQtoXwkYVbaVzt+EGnJDfzUS7bNk4I8ZwQ4rn19Y0f8Gn88RlnP/oTdObmOPnQQ+/4syfvOER3eoazdw9DP+du3E+n0eDMrkvbgJ6/4Ub64+OcNiHcuxm/vXs7Z8abfO4mfYwnbj/AhalJ/uCu29/1Mf9TxqGFi/zDZ1/mg93+27/5j8F4t57Cog0LhBDbgSXz97NAlTR+xbZx6OYx3HbwgDMclpo8v01TO+fn54eEKU6eeItXX38N0FVz/UGX1BBB4jjG8xXHjmsq874b97pmL1mWIHyfY2/oDEGaFQRBxLZtuwA4cuQw/X7fuabj45OOSddut2k0yrLr8alJ+r0+dZMa/MIXvsBELHjffYcAzbQTnucsbjV8cAKhsnTshBAEZjecjGt0B32UiSNnZ7e6Bqt5LolrjZKd5nkkH3yY4/fo8GpycRkZCbqmD8bGxQtsu1XzD8KJCfwgYtxcUzPPSe+4ifVf/lnGgOjUKWb6HmuLF2jNztK75RYG7XUE0Ol16Sc6VXimHtF97DFOH38TmeuHKJCSlbTLsk7AsSQKeobI04sixsZr1IziFc2YI77gf75JS8LHsuDkvl38lqHujoeh8wQsO9N6kVaOzvXHNK63ZS4LIZz7bH8XltwUFghVyQoohVICKTweP3KS3Z0ef7HX5ycNdXlyqc30jHbx1ztdTp49T2ayAHG9QbfbLns6Ggyhii2U2SblMg72906n48LUyFDChzwHk0GYnBx3ZCfQGZN+v+/Yn/1+Qj5oMTNnQpEsLWXvlMT3/MrccNXj3RqFz6Nbwv0Gw63hPg/8d0KI30IDjBtviyfAUL6k0WhQr9cdqLdv3z6XNryxtpeHHnqIe+7VO1sU6dLpM2fPApAkfR776cd43TRNXVnpuljuwtIyvW5SPnxTM3Q6Pd40RkIqDfjcfPPNAGxstF2YMD4+6RYkgPQErW4Hz8SnW6emQA546SXdeOPRD72PNE0JK2o6w5ernCy5EHrBGCIdYaC7VSvj5o6Nj1NkhhIcCs1vsKFW4JPXAvrGVR+MxYzdsItoi3brV84v0HlD61emfgBZwaTppF2r1egM+qRGDr+7vMSZ+R1smGsc93ziMX2cXl7QSjNsmWArCFjotp3SUCLbLPf6DEzIs1YLSCJTfxIFTIyPuZLtftLBi0JmJjROMt0cpxnGNK0mQkWDcVQDwCpy23AiSRLHBLXzXK0DySt1JkIIV7EIaGUkmZNmBZ/Zv5ePv3mc/ylP2Sj0d25c7HLBSLjnSiJFSL1uwF8BRZ66DSSKoiFcoNqly4Y7flxSoIGh86wajS1btjAxrj20lZUVPM9jm8kgtVotFhYWmJqccvORJTm7du0xvxcupCmKgijynaq2eAdBwdsaBSHEp9Cg4qwQ4iy6I9RvAL8thPgL6J6SP2/e/iXgJ4GjQA/4las6i8rNdMKeZtx444289NqLANx88EaOHj3KtCkrTtOULVu2cMsBLeTabrdZXLzAiy9qTbt773uf44WvrKzQafed9T958jRZWrhW5XMz86ysrFQ8hXG3ONvtttbvN9Y9bjaYnp4mNgu5s77G/ETdXcPGxgbbZ6ecgEm1M/LosCW79vW80B5MZqXA0sQh9/HYGP12F2nIXIUqiGo1aqZeIVEZpBl7Tp1i15e/yqlH3s/qbdpT6K632FheoV/oa5jwQ9pezsASn3ZsoZsoCgNMLq+ustvUMjSak3TTgppZjEdPn9FFX8aYd4uMvoDAeAMNP+S93R6PnTzN7928nxdV4sRPamFEWI+pmRZzvigQRep2+LQo6cp2XqqUcKhImqmyyxRoHKGUis+HWtAVSms5BNK28gsA3Q/yuZkpPnf7zbzw+hsovxQp6RlKuOdDFMSu1QBFwfhYgyQrN7Nq/1MrwgLlepaFraNQQxLwQRCQ5zlbzYP/4IMPMjGuXzt58iTPPvuswxtuvPFGOu0uNtyenp5hbGyMvXs15obQmANog1EUhSs0U+8Aarya7MOfvcxLf2KT9yrg167626+P/yxj15e/SuP8Anu+9k1WP/FLP5JzeOzkaXZ3ezx27AQv3n3jj+Qcro93N64JRiMoJ1clCCiKjAJdFDK1ZYKP/dRHAWh3B2zZtaUSnwmCMCYMdFbg2NHXufGGW7n3Ls092LptG+ttfRwpc+qNiBPHdbgQBCFxHLHbuF5LC0e4+46b+d6zWiI7HWRERky0N+gTxh6+yVEluUCkfZ0uwoi8xjO8fExnQR66N4RBh6iu3e+iKNzujq/whI/n0mxaaNb3DXsyKVCyvDFFUbLSOhspvhc65etGVMNTHrnZ/eq1iI2ky4s/9l5u/+p3eflD9zGo6100FXX8cIa+yWl3exsEmSQzArGeVLoE2OxohUy4YCTxkn4PmResnzhpzlnxXOC7tJoKPPqdNqkt6ooE//GGHTx+4hyf27cdf3wMo/VBLQxphnXqyvS/lDrOt+FTEAbOe1vb2GBubo61jXU3j42xpkvRDdoJSgjnMczPbEMaGqnIPepR081dt79OLQjp9g0rdbxGv5fjx6ax0IWTBCImyfX8+J5HEJfeXS4zF9J5nodQpbiLdf+rIcEl1ZqG/1DkumGRpWY36w2mpxps26bncv8Ns5w8oYsBb9i7l299/RskPSP808sJhUfDhGaRl/MX/5tfIYxs5g7y3LY3aOpO60at3POvXmTlGjEKl3YDtiMIAueaRVFEnueO5tzt9vE8z1XNnThxgsXFRXaasutzZ85w6HYN/j333HMsLi6jXP8Fj0JmtIxC8/T0DEmSEJkcMJ7vyEtBELC0tMSUkecapAGeCkt31o9IksSlnYqiIJMCmdlMN0MusNXPAw0PjNJkR+fDLjbP80BIgrCMS4sicynPOI61avWD9/Pcg/czSPp4tmI20GlOWwWZdnpMv/4m97z8Gs/csp+j09NciDVl+LbFFT5y5DRP3rKHw9u2UNQLgoYga/jctrzGT564QLB3D8dNnJzlOV4YUDdl2kEt4q3xMf7R3p1IFM1GXCpdBwFxEOKLsrpReWWj38LznLtcFAX9ft+Fbe22xnksKOfhI1FDuEFR0ZKo9tuoPqSg205U3z9IE9I8R/jDDYjtPRjtJjXam8PiHaDXqd24SgxBr4XmRJPx8UlkXrYvRAnOndOG4KmnvkGvawDbpYs0Gg0HNJ4+fZokGThRqV/8pT97iTp4dVwuZH27cc0YhdFRldy2i6BQHrVm0zEcp6en8X2frikYOnDgAJOTk67N1l3vuZ8lI5llH0Qby91www0cfv0N13dyerrJsaOnytjQC1xBVFyrGWEXfQOiwNNCpLZGP/BJ0oz1DX0e6xtt5hsTzihU402l5IgB0A+EaxbjjIF+VcrcZS8sp77k+mcml6/fG/gRfqPsrF1P62yYuogigcxXqNjKrfm85/CbzLbbPHjiBEfv3M/WOCKTBT/17GvMd/r85KkFFu4/pPsT+h55nvFTLx5hW6fPx85e4F/cqrGcIk2IAoFndjDh+07EVAoIhOdy1UJqcRurHegLgS+8IQaixXKyLKM36LsalG6/R5Ikbo7isEYuyx6f9jN63iQKVdaQqLLRDpjdXATkZvfvJQMkwmliVMfow2UNQpVPUcWNqv00bN2LlXzXAiwFSd/W1WQUmc8gsR5cmyK3xkiwvr7O9JQxLHlKITPuuVtnm2ZnZ/C84bLrzTIg73RcL53+AY4Pddp85vRJdh9+60d9Klc1nnvgbpZnJnnmPXcM/f2b997BwvQE37zvUt7A1+89wMLMBN+4/cAP6zSvjx/yuGY8hVH+eLU7tHXBosgjzQbMbdW1AN1On1Zrme3bdbiQZRmrq2vce6+ub/gX/+o3XWixsrJGHMd85CMfAeArX/kKv/LnP8HXjShmEARD8m0TU1tod7XbZmWtcmW57j4qzVxtg5VZ/28vnudAmjL5lT/g3GMfZtDTbm+1ClRxqRybUooiLQuMRMW1ppAIGz6oAB/hdpVyvsqcOOAUgGq1gMA0zul0OkOdtEUcs3DfIT53l1YCnvA8amspuZfTu+kAX7zxJqSAWSD3dXovKSTndu3iX+/Yjk+IMFmi0JN4InC7fSGlo3HHQYAoJMLWGCiJEKUbL4xsmpVR6w8GpcipLLSMvyk7HgwGSFHWNSjD8AucgAuuA5SiMKGXuWdKaOasKlOfwg9JTLlzlkuoyLdV53MzN/xKVZHVxjG1Wo1Go0Fu0spJkjjRFn0cnWqUSr9/bLzG/FbNpLzjjkN8+lOfdoLAK0tLTM80uec9h8w1ZoRhdIl4TPW83s24JoxC1dWxwIyT66q43kIIanHN1SDU63UmJyfJjIZ+s9kkTVNWVozk2v0P8pnPfAaA8+fPM79tjsR0gLrzjtv4vc9/zikxjY1N8Gu/9ms89Q0tp/29P3zRuXxhGCNQzgh4ns9ASkdF7icpeIJfDxv87ULy2clx3re2QbNW1h1Yl194DJXKFkU21A9RX2eBfdClKbXWxzEpJ1GVifcvxSPK2isiA2jVvRgv8pzRG0fRrDWHSrSjuiI3sW8uC8cBkJ6iUJLCGMW0yCl6Gf3EusCF00C0r9sz8n2f1uqaA1qFEPiR7x4K3/fJpaRnQoR2t+PCAaUUaxvrDqvpGuMw+kDaY0FpgIUoW9S73yt0+lwKCiVod/R6yGSBCGNUXqYOq5/dLDVaVZ0eXcNyJB1tO6UnSUa/l7h2AZ4HgR8yZ9Ls+/ff4DRIpZSGAq3nZmp6gk/8uV9kfl6nioNQ97ccwpwqY/Q8rnZcDx9+gOPJuMaPT87yvemrb+Z5fVwf19q4JjyFzcZoEw89BGmauAaqWlwzcQVQURTRarU4axiOjzzyqGv2sn37dsLIdwxHkBw4cDP9vt4pvvCFL3DjDbc45LvVahFGGpRsNBpImdPuWQUkH+Epp5QbFBCPTaISfV5rrTZ+3HCI89A1qOFsgyvwMRWGStomJWU1nwMfpUQWBbFB/fNcZwssa02TffxKF2bpSrKVEvhZNrSbRCIkCcsMSVATDiDL8xySnjuuFI5Iqb2IeIBn+oukaYrwSwBUpJLMnkOSEfshuShDrSiKhsg9gzQZqjB0u5uAQa9Pq1sWE+kMjOXu6nDPhg8alLUel0Sq3PU98NF9GQpRuNfTNOWiSbvmCiSS4Ao76uVIVLYis1o6bYdSisFg4Iqc4jgm8CMic/1CKITKHB3/3LlzvPyypvFPTU0RBL47XpZ2mJ2d4uKKTn03mj7jzYnLZu6qoPSVOnCPjmvDKIzIbVcXRjWUUMojjEKktPUMOc1m09341nqbyclx7r5bx1z/6z/+J06Ic7zZ5Fd/9S/w2c/+NgDff+VlPvnJT9Jq6Rz4iy+8ymc+8xl6fb2oduzYxYaRXe92u9RqEXNzWo9wZWkF8sIZkP5AIv0+GNdzrd/mwuIyO6aN6nCFsQhqqMw2yzKNULvqPoksyvmoSoZlWYoQEEdlkxkhynBCu6paaBTA8ySJ0X3LPUHuleh6FEXUm2Nlmzwd6CNtg5c8p2fcdq1OnLprSJKEXGQ0DI/DpuNsliBNU7cY8zwnqRUlRVwrpLp7XShd7msxhTzPGaRlS7XuoO8MlZQSz/eHqMJRHLtrqKYF7Rw7YdZCQtXgSOgnA1bXtXaBRCtGjD74dowi+9Vsgw0fNovt7fotz0uSFimFbbHnC6KgfGj7/cQZTKsuft99mtY/3owZn2gyNqbrgpK0h+/7LgSsbj6Xu46rGdeEUVCoS6xd9eLkiMGo4gye57mYUwjB+Pg4i4vaktZqNV57TVvdDz3yAZ599lnuv1+3oLv9jts4fvwox48fB+Cuu+7iW9/6Ds0xHa9NTEzQMUDjxMQkg0Gfvm3fFobEcYBnHrg4BuEFmDoVYr/OIE3Jssi8Hpc3ybQyyysPnz+y0DVIVlV7HpZu8yo4gO/77r12Jw0Nj6EW1+lb+CIQeLnvalb9UKsT29Z4UkrWAuWkvzwRk5h0V+h7DHrSEZv6gxTR6ZLbxSgEhZRamRmQeUHN9h+IYtr9AZYu0RsMSNMSiMtloVWZDQ06Hwwqmha6n6V7b1EQRVGZCmSYPl4tq7Y4jpvXPHdq13cur/LYsXP8m21zfLOXuHVU+B6iKI9XXYPVgic77HmGRvOhasjt94ZhSBRFLsWspC6fd7iSUOR5QpZZXKA0EKurqzSbTR5/XJfKb982w9r6Aju26yK+QqbIzNvUU7BG60pg6eXGdUzh+vhjNz5+/Bx7uj1++fzij/pUrslxTXgKVRkGy9qzGYUsSwhMSibLCkIxRp6WqG+WpO7TcRQgi4x6Te/Qx0++wiM/pj2DWg1W1xaJDHV1fn47X/va15zr+cZbr/D3/v7/yBNfeRKAM2fO4aN3gjSTCJVT9zV2IXyPQVK6eYFfEHqlxmEHn3//1HP8zZ/R6U/lxWRSH8ujoEgHxK4cOicOa67XosDHE8KlP4fFSBV5rpBdS2Wt40eh8xQQOtxWwjZeSfHMzjcex4ggJjXUXIGP9HxyE2omaY4/yPFssVVRULM7T5LTkB5FZvofejX6DNyWUqAIAp9Gw9CPKxiBUPo+2eyC7mIU45nmtEWvR7+X4RsBVemVKcfuoD8sWKIUge875L4Z+zQaNZeGTNI+g0EpViKUR9LXr9UD6GQFedjgP9y8j58+cpq/73lkZu6aQUQvGVTSumVWJ01TfZ9iK9DjDRHhbLgbOpxgeIfWilA21ICsyBCGNFWLY/AipwA1PjHNYEMXFtdnJ/izv/jz+EJ7wlnmM94co9O2+FNAoxkQ16xMYFYJWxQyS4l8m67+I0hzHh2jlFIodeZGKaTWvRwY19OmLH/1V3+V3/md3wF09dmBAwedvl+9Xmd+fp4nnngCAInPV7/6Vc6f1/IPGxsbpeLPoDMUM9suxNaN7Xa7pGnq3L5er8fZs2d55kVdR3HPXYeYnLBVcT79bt91bG5OjNPrlrl5q9dnv9uCiVC6lVWVKpnlTi5d4OP5w92nHERrQw0sO1K4BxY0xhD6tfK78rQMcbKUdFCWBlu1bPv6ICu7a4MBgCvMwsRU7Nn35HnuqiJtvG3PeZAOKkBpMaSErcO2uJLOHI6bS9agBmillC70zHI9F7KAF2dnebI5yfOvvUGRmFDMkwTCq7R+K8dmSkqjGgmj92c0xV439Pl2u42UktiwP7MsI08TEgN493o9JmJ9DpNTYzz88IOuxqKQGVma4fsGJxufdKzWS89zGEORm1zX5cY1YhQuBXU2G0KIoXy+/Vv1gaqKYCZpzo4dGpQZHx/H8zzOnNFqcXFc5/Of/7yrk/CCmG3btvG9Z58DYM+efRw9ovUcpYL9+/cTml6Jr7/+uhaMHeHGOzq2iW0Pm++654H7NTkGSLtdxuLYAYudQULhKWoV5HqYFq2G4mQpJaEoF2GmUmxvsCAQgHTxa1HkTE5Ol3MqBMJiCAIEApvrEIFHMkgc/VjlBdL2s8wLZJaTm3bqRZ4TjnRmqj4k1QxHnuc6OyFKTUpJySEQvodXAcarxtUeq/rwVWnvvq+QKMeBkKJcO7mhtdsHJisk0gvom2tYW1unnwywTaWEl+F5wv1uH3w7d6OYQhVotGBiFRyvblxKKQdKJ0mC50GS2GyMohbFpehv5NNfN4V1D7+XxcVFZraUKW7f95mZ0ZyGTqfnDKP9XgdnWwxjxGBdzbiOKVwf18f1MTSuCU9BKYZ2w9HdsTqqu+joEEIMud5NPKfs/Mwzz7B79wUefvhhALZt28Hs7Cw//uM/DsCnP/M7zMzMuOPPz89z5rTmO5Brd3hg4lObYhy1vtXdEOCEaeZ69Pwie6a0bPmYABEKR3tN05R4fBxlFJhHC6Oqu51LfdmdUWYIP3BNUZVSIBWi8v6qIKgu4S27EisvJ/D1rhsGIcQFyhTjZApHjdTin9JtPzoEKIbOtbqzVn+2rDwXAgY+qlBOZVlKSa7k0LGspxEEwRDNveqN2PuQZ5KsEi7ZW6IzNSV3QIusQNdI3C+vrWtugPGyqpmK6vzb+1r1fkbXqEt7VsKHqldRDQHDQIcWFjMLPB8iyExIJnOf++/TNP0/8eEfI+kPyFNNVd/YWGPnzt0sGaHiZnP80jToSAbi3WQfrgmjAJcuqOqiqvIUqrXqo8Mq6toJ6PYG3H333QCMjY3xne98l1df1T1t/sbf+Fs88sgjTEzoTkVCCBYXF528+CuvvOJi6E6vz9GjR5kyjT7td1VLdu3foEwzXtjQC/Dib32GT6x3ePoDD9B49CdYXV2iZvo6eGFA2h/gZ7Z3hT8k51V9SKwr3R/Ymv+QQAiwi7nIyZVy7cxC3yMK7KIHJTx829XIE4AgCI3uYC1EdTNyQ+7xhA6bAIQs8IRwrmroCdbWWu6+FLIYonLnssQU8jwnK3JnKLUsWqmulWQZaVqheVfqIqySczVdW83FZ4UizbMS+ygUuasgVWSybHmv8BkUBR1jfFudDkXFyBRFYfgewyGhPY/NQgf7vVVjYkd1U8vzfOhh9Tyt5ASami9U4fCqmZkZ99lWe51n//C7fPCDeiMLgoDFxUW2bNF8mTgKySrNaS+p2xgKcX6Acmw/7DFKuqgaCPt7FXgbteLWWwDYvXvOAYdxHLNr1y4+8IEPAPDFL36Zj33sY6ytrbljLS8vu9r1yclpUgNCSaHBO9si/ciRI0gp3UKPDYHGGgUbU1qZ818+e5qtUnH3k9/gK3ccYCryqY/pGHKQaE0ITwzHhlXhzyHgUCko7ILLKITAM0F5IfS6Vq5KN3bnZOcs88pdVyEI7eup1mUoKqSq3OxmsigoiqzyvcrExvaBU0MEnUIWQ+cchmV3bAt9FhWjr5RywGNhDCqUgF3V+FaR/TRNSdN8iMeQG+wmVxIlhTNsuScYpNJhO0meaTzD1kIUqeaDqEv1FEbvgzUK1WscrY2oYl9SShfrF1mKKgKkvUa0JzU9pTenBx+4n1/6uY8BcPbsaR7/qccYM928g9AjSwtWl7UHum1++xVl1kav4WrHu20b94+EEG8I3Rrud4UQU5XX/q7QbePeFEJ85B2f0X+B49fjkJPjTT69f++P+lSuj+vjbce7bRv3JPB3lVK5EOIfAn8X+NtCiNuAXwBuB3YAXxVC3KLeNkl6aZWkGNk5AVA6leiq8Uy4UE3R2WMAXLx40VGTx8bGOHr0OC+//DIA999/P88//7z7/YEHHhiquNuzZw+nT+nsQZLrnc/WTURRpGsORmivQyxMKSlMLvqLYcQzYxEsLfDAM9/lgUO30xzTueW002e80aDwynMfKrXeBF9xcXJRoFSGte1BECKptFGTkFfmJAgiPCsM4/nGoyn3BU/oJqsAQpXlzkWekqYpA8PgS9LhakVpMAHn3VGec1EUeKE/RHseVBiNaZpSqOG4/HKlwHYHrnqKaaVM2YYMYGpIhEKa602lxyDLUCZ88vwQIUuxl/I+cskYzS6Miu1uRi12PA3j9QV2CXuebsxDiUdMToxx6623AvDwww87seG1tWUmp26r0Olz1lY3mJ3dauZZupDKHqucr1IEyFzFpRd2mfGu2sYppX6/8uszwM+Znx8HfksplQAnhBBHgfcC373Sd4iROHJUQ798n2BQqbcfBRatzLZdNM1mk/V1XduQJAkHDhzgK1/5CqAl3Ofm5ly3qbPnF/nSl77ENqPNsL6+7sgqzYkavV7PKT1b7YVqt2MzL+51pRS+Z3CDeoOeeZDOLi3ReNNDGWBpNm4yWGvR2DLuPlul8lbdZ5uzt+StPDdybJXYF+G5vLbm/ptYwpyTe6BMKGALl5IkIU0SV1BUZDnKpCTzLCEbJM4YpINk6CFJ8pKHALqQyYYtg8EAocIKxyGhn2QuhtZ1Dt4Q5jBqbKsGRqlSTUmahy/Pcw4trfH4sXN8dt92XprTKllVF7+QBVlR4BmtiSAIEPkwLdrzfBshue931zQSxlZDvFHAsTrPtidEkZdqUlLlFHk5X3EUuB6mL7zwAg+9R2tcjI/XdV9NYUM6xd69e12INBgMoII/DYehHlQA/HcyfhCYwp8HPm1+3ok2EnbYtnFXHEqBsvoBeARRg8Sg8xKfwgTJUgUE/nB/vKzIya1gqBAEUVgCf6rAN+xG8ow9N+zhox/9kwA8/fTTtFst5mb3AVrye9vcLBMNvYMfP3qMbaYhzZFjp5jZMkfHSJspIen0yrp/LwgdsAMwSDPtcZiFEPqhFhwFapM7eOoP3+LVoxpB/sD7HmbHzu3MrJqMgeywbWuDxHgOfQLimv7shPAJ8z49I9zqmXZiVko+zRNtUMISj6gHpTaBzEqRFSVHdnel8DIcptDv992uqz2jnCyxBiQjSfvuWLkc7ttY1aAUgUD4IX0jDFMUyjEEAeqxJUxZjQLlMjO+F5Im+WUxJMtpKJTg8WPn2NPt83MnL/Dy3CzSYgqG0RmJgpovGJguUDLJ8BBlSz6HS42AdVzqCVhPIR3YQiRdmWqLyWq1mhNmTdMUmadEpldoNii0pqXhmgiVE4QNpqb1fdqxfYpnn9eP0OOPP06723ZgeBzUwA9A2eKyHE95ZSs85ZWenhBI9H/6vT+k2gchxP8A5MC/s3/a5G2bIiHietu46+MHOH73hl2cbtb5afmV/gAAIABJREFUD/t2/ahP5Y/8eNeeghDizwE/BfwJVfpV76pt3MGDt6hRV83aksvFl8BQGDFybPezRbJt0w3LBnvooYd45fvfd5Vus7OzfOgDH+To8RMA9PunHF16fn6Obi91x6zVakNluUmiuf7V+vo0TYnrGjXudlpOA6HRHCeu1zh+WuMV7e6TzG+b48MHdW5661TMsTNnCE29RzwxTc80g1FRQKJSilrDXXfVrXUdrCt5/aRI3HtHQ7FRBH1jbaPchYu8zCYofT3W5c/ynKxSkVgUhS6BNu/PlXTeW1EUJGnHZXWklK7d22b30h9hSo7+W/UU7DUI4PtbZ3hpdkrL3RvPpeo5X64K90rjSsi9UmpIQetyPA37u+W4BF6IlDA+ob0/mWdMTkwzN6Oxr+efe4HzZzWT9mMf+xhTU1MVOn9Cv993nsNg0EPKzRsNbRbuXO14V0ZBCPFRdOv5DymlepWXPg/8eyHEP0YDjTcDz77T448ahfKCBKgK3oC4ZLFXJ6NKSImiiF6vR57om2M78tgH+cyZUzz8vod474MPADAz+we89LJOuCjhEwYeY6asut3Rno19KGw3HgtSWoksYdClyS0zxKac+fT5cyy3NggNrbWdJHROnmFjUWMfv/yzP8lNpy/w4Hdf5tv3H+TELTcRB9oINKbH8WRBLkqVaA1M2hRdjlICu1Z1O7rhmLL6IGdZNlRnkObZkEKxzYEXaUGv33eAlxBiqPw7MwbEeqhSStJKDN3ulQbFfpczIBVJM3tNo6+NEtvs6w7sqzyM1esbdYSvZAj0cTevuammQavv9yq5/0s3NYauyxqoKIpIB33CLTr027ZjJ512ixdeeMm8H6Ym9Do6d+4ce/ftqehJ5ENK0VrvsbbpdVUxn3c6riYl+Sk0UHhACHFW6FZx/wwYB54UQrwkhPi/AZRSrwG/DbwOPAH82ttnHq6P0fHQ915h62qL9z93+Ed9Kj+0cffFdf7eC4e5a3ntR30qf+zHu20b96+u8P5/APyDd3ISVcem3A0upTk7d3ETaz76HgAlS5DKZgzskFLS7/ddKkgo6Hbb7Nypo5/QF/z8z/0sAF/68u8TRRFt013JZiWqqHOVymvP26oQCyHIwrJTshSeU1lOkz5BEHLBsBTrW2c5+4uPE37mSxz56AcIohrr6zrrkbZajPmSukmz1mq1ocIszR6URMZziKKIelDKnlUzJlZxuLobF0oi85KJmFQYmv00cZ+NoohcKlfunWTFMAGpKEhTk3LMM+dh2Lmokpnsd//MqQvs6Q346RPneHmuLOIaJadV18PoTngpwajcqYsK888ee9P8Y/X1ys9Vb6EMvSrHFFq7CfN/+3k/0O/t90oAd2pynLa5p92NdRpx7FiqtSjkz/z8JwC4cOECe/ftcR6oEHre7D2L49h1hBqdn9HU7jtRdr4mGI3Vy7oSo9HzBFX5cwv4X85I1GqBc7Usb97WwNuHwk741NQEx48fderPf/mv/DX++b/81wD8qT/103z2s7+DMIhxFNccpx/0Q1KNz+25ZIZSW+0YlJk0oQWMe0mOnyv6mXavn3npRXb/xAfpPXAfAHuWW5z3daZiY/E8jShkdVWHGnEcU6/XnZGy129TVkmS0TfR3ejCtu5/meMvGHRLPYEsy5yuged55LJwOX+JIpfSsRILZWJ4ymPb0CPJbcOaMn0nhBjCX3zf53M37OBnTl7g9/bvviQ9WV0TQ8xJm5UYqQi0n/U8D2EfhqL8e/U9VcOgPz+8/qrvHV1ncpMNa/Sz9ronJkzK2dd08WZdbwpzs9OsrSxjhMF59NGPuMrec+fOufkyZ+iqTgGjsHX5EGk49L76cU0Yhc3yE1cDCI2+ZxR4tIYAQBX6IbY9DYUQbNu2zT3IUxPj7Nmzy7Xv+r/+z/+Dvkk5feWJL9PrddhiVJo3zMMzSmWtxsdKKSek0ohrNI0QRq/fJ/cjBKY1uRejpCIyi+TUybNEXg3PaAM0aw1mpnWfwdbqRTa6PXKzcDvdPkHQcWW3VuOhulvUgrKEt0q4sbGpAw+zDJkP15xY3UTbzTmx/AB0gZE1bDb1ZW9VobR8uv6w53L1UOIEVR5GEAS8tXsH/3D3Du1JXAY4thvEJRjDqEgP5QNxufVjAcrqV1VtRPV7Rgl1JSg6XJ9SGtTcHUcII9Zi+k1keYGHz6Cv5/Lwa6e56cYb+MhHHwNgvNlwQOLs7CxRFLnziOOQJCmFivv97sgmeXlD9k7G9dLp/8LGrreO8/F/9Sl2vXX8h/q9t55b5C8/+R1uPXdd4uyP+rg2PIVNxmZobtV6v937APKsxDitQKl9rdFocNtttzkm2VgtYnK8pJsufeu7nD59GoAwrtMcm2RhQWdXp2a3DzEppZQkSTKEX/T7fRpGbSfp9AiN1zA/O09/MGDBlL/mqVakHhR6x+63+0yPT1N0dYwZ+hFb5nSmJC8GtFcW6RkSVZ5r1N/G7Eop7nrqaWYurnH3N57h2N6dhJWMQJV1aD2FIUn3CsFFiXKu0jynnyQu1FACnZKsZDZ+/LUj7Nho8xOvH+WVHXPOy/CNuKprIFsUQ3TyqsjpZqOKoo8yB929r3h/o/jU5Vx8z/MQBnew763+O/p91RCoDB/Kb6t6aNV5dh6EyRjNTk+zc+d2br5pHwBxGDA+VuOWm3VdTK1W0yxGtDBQp9uuXH8+5KH2+33GxuKh662Od+MlwDVoFN7O5anGWJtRoatGI6yFjoegRoyCLcF+/vnnAXj0Jz5MkiQ89JBOSU7PzPJP/un/DmhW2h379rrFm0qPRqPhyqyhzKGDdtXX1tYYtLS23sT4eNn1KC8osoLxpnYBwzCm2+268+qsb5CnKUVq+15ETg48iuvUx8cIvNIYVdmDaZrxzXvu4AMvvsoz772HIIhYM30N7LVfLr0HsO/EWT7w8mG+dddtHNuzw9GnpZQONAWIRW34YQWevONmfuLVI/z+HTcPgYN+FOKL0ggopRyV285tNfQaHVUMwYYE9j7kRqG5ulrE0Gcv1Ty4BFOoNLbdjM1oz2GUeu95nmNeVv8Gw1wLayyEZxvOwp2HDnLz/v0A1GOfbfNzxFbNOk+dUej1etRqNbf5DAZa0t0a8irIXJ2f0escvZ63G9eIUVCuvbaPoBbGbJg+jEiJMgQcJRRKCVfUIjCxql/pg+BXLilTxF65GJVSrqNJUSjGxif5+T/9CwB89eu/zx13HOKppzXF9Jvf+A7NCY0hyMKj3e6Qmwf1loM38uILh5mdmgdgYfEsO3ZMIZU+z/nZXSyeXiCyXZg9jwy7y/j0khSrmTfZjMl66/R8/VB0EoXym4Rj5sHPBwi0F9FsxKh+g6Jmi5YUeb/n+jY2azEn9u/myN7tAEzlKTXTrsx6BbbLcokdlBjC+186zPx6i/e/9Dqvbp8dwmaqi2wwGCDAdZZGSd7cNssb87oFn18UeOb4ISDjAJuZjmL9kGS5yUgIhedD5JfAY9UIeP5whKuNkakrCAQqEwhXXIQrQpNGSyGwD1tRkLd7ZEa3ojlWRyY5g1Qbbp2dKh/oNE0vEfSpzkcYlhtOvV7HDwJsQ58oikitjmVWMDY2Rhxo3GfxwkU2llZoT+j7Mr9/H5HnMTGp11pvMKBneDBBEOCjSI1+Y5FleCHEge0LkSP8UjNCW8Rh/OVyRuJK4zqmcH248dShAyxMTfAHd97yoz6V6+NHOK4RT2G46ORyDEX3Pverea36eiW8GC1BHnWhqrvSoUN3Mzc3xxNP6ALQxcUFbrpJt1t/5fuvcfHiRWomg/DSy8+zvLxB2rdinD2WlwcsLunMxdLiKr4IGRvTbmCWS4SlW4cRcRyTDEq+QJ7n+KZgJk81tyLwLrXwSilqtRoqKGPbwBOlyrQQLj1qr89iKVUBVPva6Py8sXOe17bpTIeq0LiVUkNx8mZSeVei1V4p1t0sXNwsHV09Z/v9YRhqVN+WSyvlPJTNhE/q9TqJie1Vu0dgypjteXS7bTy/bAo8moIcTTleEraq4dAMykyFpczPzMxw8OBBPKVDgOXlZV3EZ3KS9WaTPCs7YlXnfXTXH1WTrmZb3km4MDquEaMwPInVnH/1wdU/iwqwZD5dXZzVY6nNaaj2M9XPzc/OcerkKb7zzW8B8Ou//ht87nf/IwDve+gBsqzg4kWteDMo+vgqYOWiJqCMj9V4/wfeS7et4/fDrx9l756bwNPTe/7CMmtt7aZK1afdblMY97kZR4yNNVjPR1qu2bp/I0kGIFNJfWwMZTpnh2FI4FW0KNC5a+vWVktn7XGqNObqolNK05o36z1ojUL1Ho2StS6X/tOkpsvXBVxpXI40VH2dSpeo6rH1z7r3A4CSBWHkE5mSZWUAT5ve0/yOFERZz1B96Cyoa+dGbrb5qGFAtDov09OakJWlfbZu3crpE28BMLtlijQduO/q93vElbRqFasabU9X7U2x2Xi3huHaMAqVc7eAzWgNPZTkks1YjPbf0Wm40sKtLqI8z5mcnOSRRx4B4G/9rb/BX/krfxWA9bUNlpaWKAy2sdrO2L5jK6sXNSV3ftssc1unmJ4y2YYkIwoj3njzBADnLixgqo4Zn5wkCD1X0jtIehRZimSYbQmlJJkDKTNFww+dTLklYzk5cSGGFliR5UNsQs/zS2NbFJqB6Fn2p7okhh6dp6pRqHok1ffZ8x8CB30x9Npoe7dLPMHKuJLnqI9TCqmMGgX7HtDxeZaV2pFZllH4Ab5npeZ1SJ5W+lWMyq35FeyqyksYNQqju7tSyvUsReUsLF7g4YcfBKDdWmN26xztvt40oriOV9GNHBVRqV7jZob43Rjf0XEdU7g+ro/rY2hcG54Cl2IKl8sbB0Hg4gZPeMNUVhjxOso8dPk3eyyFDlsMJXiQUq/VeNSIsHz0T36kdNv27eXw4cO85x7dzTqoh6xc7DAw5dSzM5O88fqrdAxqPD+3kxeff4l9+7WqUz9JubimQw1bZp2btFLkayTbtmuzqTo7PM/DN12mszBDKDHUrsyj5Et46OSK21mlGq5tqHRuStN0qEvzqIdW3e03uyeb7VjV14dqECoeyOgu627bFVziy+14m51H1eXXjqWei8CHrJc4efxGvY4MfGxX4DAMKYqMTq+cr2oHss3wkmr4oJRywimbnb/7m1IcP36cW2/SvISpqSlarXU8Q1UPQx/LtrD3o+qh/ad4AFc7rg2jcEmcuDmZZPQ975bGWT2Gdc2aExP0er3yeJ5iYHLz7Xab2+84wFtv6Tjw5l238dwfvuI0Ao6tXeTOQzdxw159o5OB5ODB2zlzQROUWq11V1yk0H0IbRotkwWeCNwCjL1AU44N60hUHnLf95Fp7vgReZ5TZJW5Uwqloko44ZFUQKs8zwmMUQiicEgBqSgKRGWqq4tvs8Ijmyt/u6GUQoyEE9V5H72/o4bpSmCx7/um01Q5P4EoH+Q8L5walBBAIYlMirJej8k9n9hoU0RRQK/dcnNbddvt8UZDkrLYqjCbU+WazecsPmY/88B772N9fZUts1rXI026TE1NcfKc1teQSjFl0siX6y8yaqDe7TNwuXE9fLg+ro/rY2hcE56CEBVXbBMPofraUApyxEBal7HcjSpvHQXFUENkj6WlJebm5txne72O6+Kzb99uzpw5w9ycTtcFQcSZk2fYv1ez0jZaqxy64y7WN3R24stf+BKTE1tZWNG/d7tdlNHsQ+gdIDKl1AEFUejTr+zorVaLsXjafJc/BJb5eCSmZDcMQ0LfK4EtKQmC0jVXRVm5aN3hKjW7WnGXZRmqkEPzVFU8GgV8q7Tet/PqruTsXmmXG/UMquK+9l9Z4EJA3/ddxkdnDEq2Z+xrFqXV+8zXWgyyhHFTfFSv1+n1uwzyEuCtsjBHgcZqmFNmIja/FiklE5M6PX3TzTcy0YgcABxHEa1Wy4n+VDt2WxGd0e5Zmz0b9ucrvXa145owCptN5qZpKPvAjyKsQ79XF+mlx7vcmJ6cotvulG6xVGSpvnGLCwukSZ+zZ04BkBcBr7/2BjfeoHkMBw/exuzsVp4zgpv9fp/11dMUQXldtry5kMMZlSRNyFJF4Vsx0lynLGf0Yg1FqQMRBAFx4LGxqo1No9EwNfUmtSElvl+6m4Nen9nZWfPSsCtuS79t+jJNU5DK/d7v94eQeotB2M9W59S6x5dDvgtv88xE9Vh2VPGIUYqyrfS0w6YJq99bbapTLW/PPUkQ+sQYzKaQCKHbA4KuSFy+uMSbx866ua6GB9UQwP4+jF/ozNhmQ0pJp6OzC6urq3hyrCJ5LxkbbyBNk55XX3+NQwfucJ/dLNM2qiI9+ro9p80+fzXjmjAKSilXDuz5AV4QERgAqFDKclPwAsM/t9RcpRditRw69PyKZ5EPLZjqhI6CY4WUhHHkdBWTJGHKHLfVatFqD1hd65hjvUkY9NizT1t/6Q144+Qp/uDp7wNQb0ywMWijEn3TJidnXKeqHTt20Ov1aJr8+MaGlh4XZrHW6inLF8+ya6s+dq25jV5bG6qZyQhfpExP6Xg0yzKyXOGbfpAi0AZBmQmJmpFrU688xf/f3pkHW3LV9/1zerl9+9779mVWodEILRbCkgYQWhBiNYjEyA4OELCB4BRViTEmKcohUKn4H8dxvCWpIthJTJWdwjYhDrES20QiwYE4rEaMEBKEGSEGSbO+ecvdezv54yz3dL/73mikmTcvqfurevXu7e7b5/Q5fX7nt3x/v5/wnLBfQAQZ0tO5GIIhRZKQFzrENy/wfeOzHyAkNgdAv98nDEMLmkqSBD8YaaKuy1EIQZGnBGYxe77S93W+Bd9mG9Z4iqAcClydM5e5eZ5HVA+dnbTAR2eJrnkUKWTaF+yLmHrNIzc2laAgSXNmdJ6D2ZkZrjt8Az84ccrOf31KMeaNtTWWFpc4d+68ns8ZxTxDp8RenhLorNuDwQA/MMxHVfqeqak5aa+cY8/cNOj4lVzAsJ8QhKme4+lNNS1dych9Z33fpxCj7OZu8JepkWmPXYRtcmJTmNCEJlSiXSEpuN6Hqptp86UXhsha0cm7sL5qrg38wGZjgnKl4G63y4kTJ2zlnuXFBZaX93LvK18NwOf+4gscO36CRkPtFKtra8T1BmFD7RaddptrDx8G1A401WpZ3SZLU+r1On0dqFPInH6va/uhknOOagj4QU6tVo7OrCaXcd2QQcUdWAUClTISO6m+FHpOe2aaTYjrJdG06jqsqgUujQMfbRnNV/nddjBoI5G4O6fr1XBtKFJKZF7O2pTnua2POTMzw/Lyst2lwzDk3LkzAMT1mHa7bdGPYRjS6/XwvFGmcBdEphCrSrrzREiz1aLQCNY8z2k0Ghw9+jAAR15yG1NTUxbctLy8XKqmNS6NWskr5G9271avu1i6IFMQQnwClcr9jJTy5sq5DwG/BixJKc8JNXv/EngT0APeI6X8xrPpiBXzt3m5qnrSuJfG1bP8MUxhq3v7viBNC0zePc+DRkOpEouL8xw8uJ+Bhhd7MqTYGzKtq1BHUczp02fxtCgcRw3WVteIak19L5/V8wrD0Gq1kFJy9uxZABYWFpQ4rvu6tDBHI45Y1i6rVAikRjcOkr4ymAXliMLquLghvO4x9wUz8Fm3mCu64jXoYqbDUZWnIpPW8Ob7fgnmrCDCIyZajRPwnNy9VZekUePsvSQY3dwTOuORq6u7dmbhkTslVmt+YPNWFEVB7gdIXTBnkBTISrFa912Ym54hX8q58y4VOv/lL33V2pfiOKLfH1XP6nQ6RFFELk3IemLHxDxbLTT2hgJPSJaXlW3nrW/9KZb3LPLgg58FVHh0UWR2bFfOn2VuqmbnyJ3XKpWM7peQnmstSYQQVwGvB044h+9DpXW/Dng58HH9/1nThSSFsnV183l3sqsAnHFkjvd6vVJMv2vwajQaXHfddbbq9NFvPs5P/o2/yZlzKwC019rMTs9gMpeuFKt0g1EJr0YcjxafEAyGQys5pGlKMhwyP69q9B7cv0B3Y1R/Qaa5NUL6foD0xKbFV4WEm9/W6/VSWvbq2FSTgfSHQ/tytlot8mhUaj0Z9Eu6rofCRaD/p0KQ6efNhSB3mEIu5CYLukvjsArmeJXBuN/DMCzNmVtuL89zwjAcGXQHffCwTCOuRfSGmZUkms0mw0HKVVepxL2f//znrZG2Xq8zPz9vc2O2222Vis1ixFSfDG4lTQaEomafZbrZ4IU6icri0ixFkdFoKuj67OwsQkgbZg+jmJ1x76zLQLeTBJ4PwOmCNgUp5ReA82NO/Rbwi5QlvvuB35eKvgzMCiH2PefeTWhCE9pxeq7FYN4MPC2lPFrhZgeAHzrfTS3Jk2Pu8T7gfQB79yy7xzfpoC65SDODHCv3YfT7LE+29ONWVY9aLSSKavbeaZpaNxJAoxHT0HUmX/u6g5xfW6WpuX2zGfORD/8i73nv3wHU7tCMQoba8t1ZX7NBTWGzydz0FKeeVq6vOI6phwHveNtbAZhmyA8e+Rrdjgq1JWiC9gJEcZ0s7dvALBP16LrwTCYj872qam23gzSbTfv8ne4o/VrVL59lGb6jepg+jPORSykJPTbNQ9XtaMhzVAVRsZUUsgAxQg4KqVCbVkVCjELFfYEMCuup8v2EPFcqhPqugsPmZpSE1owbJM3UztPy8rLd+YfrQ417yOw4DYdDAo1+9PMMzw8JtQemUWvZTEpC5sQ1n5e+7Db9DMqmcOCAKrHa73fZu3cvKytK6pyamrEFi8ZJSq6kAJudCpfCvnDRTEEI0QA+CvzYuNPj+jPuPtItG3fjdfaaatVpfa06N0ZsqurUz9YvWx3c6kvq6simX1ZsrQXMzs3YcNjZuSmefPIYf/8X/i4ATz7xfR5++GF+eFJN9N13320h0jfddBMPPfQQc3MN24/bbruVn3nH2wDYeOYJPvP9x2w+BT+KSDTgJgwiCpmTaGZTq9VKtgKTK9LowkIIi4+ojpvJr+Aec1Pej4t1MM8fBAEiLwiM28vzyYVni5kKz7fp74qiwKPY5GZz60+Y9oBS1SX3uDsHLuOuzqE1HDvVmAHqUcaw1yMd6KjRQlJkGfv2KUF2amqKNM2Z1hmR7rrrDr70pa8AsG/fPp44/qS9X72uwEeZNlIGflCq3BQ1YpqxGvfF+Tmuv+5aDhxQ7bRaDfI8Z/9+pYq2221Vml4/02AwoK6BbQZafSF1YccNjWPoWuAawEgJB4FvCCFu5yJqSbrkdr2ainycvjnOmu3erbo7mt9Vr3V30rDm6/qQ6lwtCkDEpbbNi7zRXWNueoZuVxkP77nnTrI05fx55eP+znceYWlphqeeUQJSr7PKX7vvdQB86lOfIvQLPHQtRQFx5DHVVExiNUnod7u27P1cY55A68FZllELAht2bY65C0GFCI9ARq4u746H2f1dQM7TTz9tkXVhLbDW9izLGPb9Ej6gSNISM0rTtCTBuQzFtAfl/IXm3iUsgjOV44A77v+qd6U0nxUpKo5j2g4gyzC9g3rHrtfr1Go1a2NYXl6m1RrFmHS6G5g07b7vE8cRqz2F05hqNUtj7XuCpsa73PQjN3DXy19OPVb9XFk5y5kzZ7jhBgV8a7VanD9/nvl5Zb8YDIY23ZqNqdhCUtjO9vZ86KJxClLKb0kpl6WUh6SUh1CM4IiU8hSqluS7hKI7gHUp5SbVYUITmtDupWfjkvxD4FXAohDiKeCfSCm3Khv3Zyh35DGUS/JvP9uOuOLjVmqAu6OY75KqNFEWkcftLrB558wyWdp5XPG51+vR6/Xo6rTrQdRgcXGe3/n4xwE4f36F4987xqvuvReAO+58GWtra3zpqypT9OPfeZRapHbI17z2Xg4fPmzF+l6vxwc+8AFOPa2kjGeefppnnnmGU6fU96nF/UR1hbobDDsUgSSORqrHcDgseUmCILC7XRiGpQpZMCrCUk3llec5S0tLNkpwMOxZl2R1PvI8x3fmweADtrIFVdUW97+ZU7v7VeIv3Lmr9sVkOrYehuHQ3tcU+XW/u3ED5rupQu4Lj8KJlajX69x6660APPzwUVWCT9sbsrQoJa8ZDAaQZ1adfOmRW9m7qD7vXZxXqdhqo0LHBw7uc6DrNebm5uz7UJXeqrSdvc2l5yNBPNdaku75Q85nCfzcxXdjVA4uy5Re6y7I2XkDRTYlyMzCVe4t48cWgMyzEVvwhPViG7insKfKzCfPcnw/RBbGSJkT6Hx9szMxM9Pz1tB0bmWVr335a7z63lcBcGD/PnykjY04duwY05Fv3V8f/MDPc+z4dwC46qqDXH31AXo6W/Xha66i3+0R6Bx+QRHQyUMe+Z7y9F7/4peQ95WaMhtHdDodUjla0PWoVkqxliaZSaZEnqXWjx1o+0GqmUQiZZmBxDFdT5AY2wqexeMLmSP8QJVLRDOBYvTSmbgIY49wQWBBEBCLzbYDU4LPj2JVsk5DpgsxmiTDmE1mJc/zqEUjEd/LlGE11/NSD0K7uAJdtaoZKTG+L9bIxIAZXQJ+0M+Yi1vMa5jzgJxO2qalQUb10KfxgkMAfOuRx/H8kMTkvIgEaZazoKHK3d4GjWbEi649qJ4h3aDRUExhz8F55udnWJybteNRUo+LHB/IE/U++J5HrtdCqHOC2nKRFXsLflBhEm7GJzWLo3PPnklMYM4TmtCESrQ7YM7bUNmYsn0EmDo+HhK73f3de1UNZO5nI4oeOnSImZkZIg048T1Be221VHB2ptVk/z5lxNrY6HDLLcol9dRTJ2i3O6ysqPyO51c63Plywfq6kgaMNGLcYa4kBJRhydpN5oqZ1X67kGfX6m+euWTdlyOJqigKZGaSuI7uoT/Q7fZKXgC3XTea0fd9PLk5yambINYNoPJ853klCEah1x4qGM5kT5IayjzOi1RFbPoIms0mT/5Ambhq8QyvuOUWYlPQp0gYLjokAAAVXklEQVTJipxEo0f7g4TmjPYuzc5y+uwpO9/psIcnhwx1aH1rKqbVqjO/oK5/9WvuYW5WSSBR5JcyaZuALtedW82yvUWw5Vja3vOwc96HS07uGFQfssQUpHzOA7YVOmyr79Vz7guWJImyVmsoa7/XtWnWQC2EVqvFezVu4SMf+TCvfd1rALj33nt45ukzfP/7StV4z7t/lrNn1lldXbXtBkFg7Re+79tFYLDwrv/erRAF5ZLjbvo1o/dXk4+aPqdpisRZVFlKYZCTSALPx9QyFWFI3xlT4/4zDMvtk2mjWgHK9UZswi1UPBCe02chseOBnpNxWZzMwjOqVVyvUwt6Nj6lMTPLT//Mu/G0+6+/2uHcuXP4sYqMjMKM+rQS+W97yRHmF6bZt6wW/Qv2L+PLDK/esu099u2j3HSTKjm4b+8Cs7PqPp3uBguzM6TJZpStoefrQRj9/tLcd1cwhe3IhRtvF+BU/Q2oIaoaqarXjVv8QMkotdkoWd45Pc+j2WxafXY4HNJutzl4+DoA3vnOd/Lp//gfAPjiF7/IYDBARw7zz/7pv+DkydM2j0EQBMRxzEDbHNz+DYdDnaBlhD0wjMH0wzVUSTkKeKo+u7nW3cE9m94MUgFZYeJRdDr4ROdXyBKmp6dLTMEFTbl5GszOZ1iVYUaFu7sLQaEXtrFpmGtdqaO6+G19UH29O5Oe8Ag8H1/bRUgLBr2hrcR04swZlvbtZc1Ak4ucooBC26sa09N0uurcvgP76ayfI9R2kIN7FiiSPnmkdP7V1VVe+MJrmJ9TjGDP3gXOnlISyezcDGmW4HkjQ6LLBN0ANHP+YuhSMxiY2BQmNKEJVWh3SAqCsorgUCmphtzMw1zd6UIw3u2oaluoSgrufQ1AyIJVfL8kKWRZRr/ft1Wqj7zkNu7QhWsff/zbnD51jttvvwuAeHae/vETJamjXq8z7Ctr/HA4pK4j/Yy+77brIhqrhXSklNaNZhB3Zmcy+rgRr03CVLNPh55va3RKJKKQFiLsIeh0OpsyE7m2FzftWy7L51y1xag4xsXnSi9CCMJKH809QUkDVXHctWW49/JzyUxrijWd+GZxeYn1fh9pVBNPtSONNyaKGOrw57m5aaanp4k9JSnl6ZC5mSanu0oampufptcRXH1IQ5c7XRYWFvSc5Rq6XQbUuc94qXb7cb97LvfaHUyhQlVfrFUf7OIsi/Xuta7RYbwhcnxb45hCNd25ayzKsoxCGDentCXXQaVei+OYvfuW1L3J6esioT96y8007pjm5hfdAkDWbZfcecP+AM/z7EJYX1+nuVdBZD1CfN8nq0QcumK16ZvpJ5SvNYt1nBhbFAWiKDMeMxa+JyzM3BPlykVGhXEZjjvmeZpZtQQEnicc0b/AQ1gkY+CVw70Dz7dwagPLLigvqK0wLe7/RlQn9yLOdVWOhHe86z00plp0tCv03Op56lGMr92AMs+Y0+5KxWCEzef46GOPcc9dt9NeV1GT+/fv59prXkyiGfninkU21pThuNFo0u/38YORmuYiL409xoxZURQ2a9KloAtBpMfRrmMKVev/dsk7LkRV/H71XBVXX+2H2wf3+iAIlb6rf5IMB+RpYu8RRZHahUP1+zhusv+AYhC97oAkSdijsfAUIb1+x0KK11fXrLERYGVlhX17FE4+DFW7WTGy3Fefy7Xk+75Plo3sDS4kuLpjF0VBXItG9ogit4E55BkFI/03T4YWHOSOlzu2rm6cJEmJ6bpjbfphwVVugJO2e5h4CE97Itz4CN8PKISTEl4bIQuZ4QWBvTYOY1a760zNKpvCrUeO0CkKOj1l0F1ZPc/09DRt4/URAfXIwNxVMpO+Ho+/+F//m6WlJQ4cUriEffv2EcexZahnz6wQaSa/sdEhjuNSqrSqpPB8JFyXtgM2jWOcW9HEpjChCU2oRLtEUtiei2212z+rO19AfNpKt3PVlqr3YTgcKn23Aok2onkQBGRZRj3WKcJJWV1VEZMzM3NEkUd7TaWomJpd1lmeGqV7md203W6PdGjn/jA+m3FVNA3DUZpyU+HatFOr1azaEoYhMstL6oRVB7IU39nNXTchjERiN4Wcm9auXq+X09T7/ibVzGZ8EmVoehU+7c6ZcTu6lZxcW4X727hep9FIueFmpbZ5gU9nbYNCJ8ZJkgSRFUS++j413SIt1DNEcZ3ZmXk8qdOyxw1ml5bYs2efnqMuURCR52p8plszGCEq8CUiBylGWZnc6FRXsjPnL0WIk3qPnttvdwlTKKiFCo6aJhJBhKczEmdF14JnZN6CcMubqIUkRemlsVQdIW37MTDooRb/3dLkrrvILeeWEVALQ7Jcv/h5TpYlFIUSL7OkzfTcDGGqdEwR1qlF07rZFte/6GaEhkCfPXuGsO7TGeoXcG6e3Aupmai6c+d55ikFeT508KAqp64XnJQSH0GgRWThKWivNeoJzxYutUAfqbEUnk8oJIlOMZfnOWGtTlGM1A3LqDRgyGRa8jwPWYxUgsFgoNLEaV04DkfFZ9fW1vB9n0FqGEyO5/nk+rfGlSm0Lpan+ahaVhQRRZGdR3OtPR/4DJIhnjbEphKkBhhlSY/ZmWkKnXtiUDTxZxd4xU/8lHr+eJbkVJdEZ8qWeY6sZfiFLkXPCLxVC0KmpqZZW1eRq9fceDv/+Jf/NXMN1db73//3aDTmqevKTgSSfk/ZFKJ6QJalIBQ+IpeSPM9GZoPAtZVBQUEuNYMMAvI0tc8f1nyEHBne/UAg0+1W/kWAehzaJUxhRFWDn6uDjnaO8emqFPBla0PjdtRqtUo7XK1WG9VqqACE6rU6RZZYKHojjknIKZpNfT6m1xvQ1aG1tXqADPUOXVNpwlpTSrcd9Hp0Oh0WnLwHWZbR7arF3NSBO+Z5hBzlSszzXC1Yx/aRa4OhoarF3lybZRmpsyvX63WyXFrmmec5hUE0phlZkkKJyab2o1sfwtzbldBcT41HxXgshAr5NhgUL7dSg0mv5l7rSlG+B2me2UQqaTIYBUD5NTqr6zS09yUBbj5yWymmxvd9BhpP0e12KfyE2Ti038NglFJtbm6OdkcxUNOn1fOKSXzsY7/D+973Xu6683Y1p8MuYaDbHQ6IojpCh7t72sCb6hgLtfEUpUA1E8vhCQ8vGBm8fROebZlzSM7moKnnSxObwoQmNKES7RpJoWq93j4jcdndVLIXSAfxNqaC8VZkxFKzo7mhsa4+DJD224RBQJEZnH1Cv9ej01Y7SZblyhqtoyzDuAm+jtYbZPhezQawdXoDhoOUDd1ekaudck2j6c7KszbhysbGBrRaUHftD5sTsLr9DkLd5zTFF6OEqnmakchRurpaECIY7cK1ILT6dpoVpHIUYalCp0e2CzcluWnL7UMYhiP8gLYpmOJZFlmp1YdB1i1JRm4SGXO9/S4CgjAi17r/0tyshYcXWY7nBdT0uCdhzN333stAi/hZJ8ETsKZtO0WWETjRucPhkKg2UiXr9VGK+36/r12j6pnW2z1+47c+xq//+m8C8Na3vYWffqfKpDUYdEnTAq8Ywc1dV7DCikSYCMcsy2zx4XyYaNuIUSciPCEodNhklqeI8NLv67uOKRjx0MXou0zhudxzu3Pm3r1ejyiKbBuuCGzUiJGYnuEL6A+VehAIj6nWHMOBgQF7FL3MhjgXokbgK3Gy3+0QT03TXVeh0t1uj3otYtBWsQ9hGLI4v8BAh1In/R7dtlIlep0OM1NT5UpAlMureX45a5XBFuT6u8UHeCp/gPntQHhkxUisz7PMqgtCCOq1GvVgZNDp9Tc2YTqqOA7zPK76VWijbeFodspQqc7HcVxKJT8uI7e513qnTVyLbN6HqemIjq7J6XsBjeYM7Y6ao+nrrqW5sGQzMqdpRnttlZ4e2zAM8YOwtKG4z+PmavjhD3UaUq0iiCBgY32V/ftV1qp/97uf5IH/+ucA/Mqv/DIH9+9j2FHMp9GoEwSe1cSyLAFZ4Fkjg2SqqW0kaUqWYPHbngSBj++Plm1GOabkUtBEfZjQhCZUol0nKWzlhjLnXJebOVa+dnzWpupuUz3uIhjdfphrXBedKegSaI+JLzza3S79REsWLQVxPacNUZ/93F/yyGMqyUprao6X3/FKWnW1G9S8muL8eqfwtGHOIACHw6ENLhoMBsi8nAS1KMahOnHOjyz3QjoQYURJFBeFpBaEVvTP88IGZWVZhgcWWeh5nk2K4rbjujNdFcJtp9AuuCAaSQOgvD9VMu5WVxJykZNx3KQeBkjtYej1uiPDaWuKTprhN5XX57U/fj9es0WhQ9RrUUC/18HTUMooitjo9ahp9SKKotK4JkliJcYTJ04opKYGSg07Pabnljh5WrmdmzNz1GrqPj//gQ+xuLjIfa+5G1CJe2/8ketptuZ0nzvaxa3Hyg9pb/Ts8wZBjUAnc8myjDzJEYzCri8F6KlKu4MpbIH2AjYt1Gqc+OYoyK0XiHusyhxM6jLrLw8Ca1coisJCl0HF2vt+SL2pPAgnT57i05/+Y45+89uAqiBUFBKhfd5pDvWGejnvffV9LCwusrGqxNj19TZx3CQdKl243+2wcvasza+Q90Zp0ZIkod/vU9PZhEAt5nERkKCs9/W6tqAjGA6Ho4VeFPiIERNIUhpT0+V0ZrVRifsiy23+AJkXVi0wY1q1Cbl2GFcdlPqYURHM4gtSncbeG1V7ribbVQsxd9r12VhfoVVXv+3nCY0ZtRj7RcFGAW99i3JBLh08xOmz5+n19TOkCavnzjLQiMbaVAPfH46FuRsyOS7W19eVu1APe61ep9Pr2mK+SZrzzBnFIDwhWW/3+INP/wkA9fp/A1FYRh9FITfeeCN33XUnoJjG1QeVGtLv9xkmBVlgGLdH4RUYLdogOS817Q6m4FAVBuvuQBfjYjT0bDlptbqSG1NgUnCbnAe15ix/+tkH+dzn/gcAK+fW6faGzM+ryfTjOTZW1/B1AE1rao6artj8qte8nn4vszpldzBk7+Ic7TWN0a/HJXdor9ezC1fmBdkwQTpVn1ywj3leF7xkDG+pg20w5Cb48H2f1dVVm17cDZby4xiZF9ZFmWUZXhjZ/I+m3oRp15WqarUa/X5/5BLVfTE2BYMBsUyjGCWGMee3mqNaUKcrPAsiS3zBIFd9OtkeMHvwMFe9+Gb9DA1kllDTtTrWT22Q5QmFkwOj2WhZfTrPc+uSNOnlHn30Ufu8nudZCLX0oBbXGA6NO7eg3jAxFAXd3oBQh7sPcoHnhQidi2OQZxx97BiPfvcJ249hW83ZwYP7ufvOl9lgugMH9hDWQtJMu1EHHZpOXdFLRRObwoQmNKES7QpJoZQMpRIgMq7yUDUCzt5Hymryme3breyqrv7qusI8z+P48eM89NBDAHzuL7+udsCeRiHWm8RTMRtdXZB1mNJszuJJJW7W6w3SVO2yN//oi5FSMjersvpkw4SN9Q7ra0qdWFyYZ2ZmhlyLl52VFeWKRKkl3VaXWZ2BuKoKFUVB4iDg3HNRFOEh7G6fDoYl/dwTgpqTCLTIRsVNZJ7ji1FtzCAIWG+fL6lXaZqWwqXdgjSl6s+U0aLmdzaLdjbyXFTh5WYuRtWdOzTrMZneOdM0JdFVmub3LvPKN74BWlrlSzIKIawtZGVlRdXD1LfO85yMgsgf1aJ0M231ej0eeeQR+0xBENA3ElutRprkdnwIRClpjhf4ZFrXyHKJ543uLbyQQko0aJcsz4ljZW84fWad//xfHuSBP/0zda9Qcv0N1/CG178agJe97Dby3qUHL4nLYai46E4IcRboAueudF+ARSb9cGnSjzL9v9yPq6WUSxe6aFcwBQAhxNellC+d9GPSj0k/rmw/JjaFCU1oQiWaMIUJTWhCJdpNTOHfXOkOaJr0o0yTfpTp//t+7BqbwoQmNKHdQbtJUpjQhCa0C+iKMwUhxBuFEN8VQhwTQnx4B9u9SgjxeSHE40KIbwshfkEf/yUhxNNCiG/qvzftQF+eFEJ8S7f3dX1sXgjxkBDie/r/3GXuww3OM39TCLEhhPjgToyHEOITQogzQohHnWNjn18o+lf6fXlECHHkMvfj14QQ39FtfUYIMauPHxJC9J1x+e3L3I8t50EI8Y/0eHxXCPGG590Bgy2/En+ADxwHDgM14Chw0w61vQ84oj9PAf8HuAn4JeBDOzwOTwKLlWP/HPiw/vxh4Fd3eF5OAVfvxHgArwSOAI9e6PmBNwF/jgpyuQP4ymXux48Bgf78q04/DrnX7cB4jJ0H/c4eBSLgGr2e/OfT/pWWFG4Hjkkpn5BSJsAfAffvRMNSypNSym/oz23gceDATrT9LOl+4Pf0598DfmIH234tcFxK+YOdaExK+QXgfOXwVs9/P/D7UtGXgVkhxL7L1Q8p5YNSShOM8WXg4KVo62L7sQ3dD/yRlHIopfw+cAy1rp4zXWmmcAD4ofP9Ka7AwhRCHAJuA76iD71fi4ufuNxiuyYJPCiE+CshxPv0sT1SypOgGBiwvAP9MPR24A+d7zs9HrD181/Jd+a9KCnF0DVCiIeFEP9TCHHPDrQ/bh4u+XhcaaYwLuxxR90hQogW8MfAB6WUG8DHgWuBW4GTwG/sQDfullIeAe4Dfk4I8codaHMsCSFqwJuBT+tDV2I8tqMr8s4IIT4KZMAn9aGTwAuklLcB/wD4AyHE9GXswlbzcMnH40ozhaeAq5zvB4FndqpxIUSIYgiflFL+JwAp5WkpZS6lLIB/y/MUxZ4NSSmf0f/PAJ/RbZ42YrH+f+Zy90PTfcA3pJSndZ92fDw0bfX8O/7OCCHeDfx14J1SK/JaXF/Rn/8Kpctff7n6sM08XPLxuNJM4WvAdUKIa/QO9XbggZ1oWKjQu98FHpdS/qZz3NVPfxJ4tPrbS9yPphBiynxGGbYeRY3Du/Vl7wb+5HL2w6G/haM67PR4OLTV8z8AvEt7Ie4A1o2acTlICPFG4B8Cb5ZSh72q40tCCF9/PgxcBzxxGfux1Tw8ALxdCBEJIa7R/fjq82rsclhPL9LS+iaU5f848NEdbPcVKDHrEeCb+u9NwL8HvqWPPwDsu8z9OIyyHh8Fvm3GAFgA/jvwPf1/fgfGpAGsADPOscs+HigmdBJIUTvfz271/Chx+WP6ffkW8NLL3I9jKJ3dvCO/ra99i56vo8A3gB+/zP3Ych6Aj+rx+C5w3/Ntf4JonNCEJlSiK60+TGhCE9plNGEKE5rQhEo0YQoTmtCESjRhChOa0IRKNGEKE5rQhEo0YQoTmtCESjRhChOa0IRKNGEKE5rQhEr0fwEd7V7Vu+FOyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "show_landmarks(io.imread(os.path.join('./data/faces/', img_name)), landmarks)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Dataset Class\n",
    "\n",
    "**torch.utils.data.Dataset** is an abstract class representing a dataset. Your custom dataset should inherit **Dataset** and override the following methods: **\\_\\_len\\_\\_** and **\\_\\_getitem\\_\\_**.\n",
    "\n",
    "Let’s create a dataset class for our face landmarks dataset. We will read the csv in **\\_\\_init\\_\\_** but leave the reading of images to **\\_\\_getitem\\_\\_**. This is memory efficient because all the images are not stored in the memory at once but read as required."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class FaceLandmarksDataset(Dataset):\n",
    "    def __init__(self, csv_file, root_dir, transform=None):\n",
    "        self.landmarks_df = pd.read_csv(csv_file)\n",
    "        self.root_dir = root_dir\n",
    "        self.transform = transform\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self.landmarks_df)\n",
    "        \n",
    "    def __getitem__(self, idx):\n",
    "        img_name = os.path.join(self.root_dir, self.landmarks_df.iloc[idx, 0])\n",
    "        image = io.imread(img_name)\n",
    "        landmarks = self.landmarks_df.iloc[idx, 1:].as_matrix().astype('float').reshape(-1, 2)\n",
    "        sample = {'image': image, 'landmarks': landmarks}\n",
    "        if self.transform:\n",
    "            sample = self.transform(sample)  # 注意，transformation是继承Dataset后自定义的功能，而非Dataset类自带的，有自带Transformation功能的类？？？\n",
    "        return sample\n",
    "    \n",
    "# 思考：封装成class的好处是什么？  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "face_dataset = FaceLandmarksDataset(csv_file='./data/faces/face_landmarks.csv', root_dir='./data/faces/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 (324, 215, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 (500, 333, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 (250, 258, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 (434, 290, 3) (68, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAHMAAACgCAYAAAA/6VNnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzsvXeUZFd97/vZ+8Q6FbuqOs/09OQZzSjMjMKMIiYKhMGAkUkGbHzt63idvZYfz1c4XPv6+WLe9Xv3YWMMMmCCyRYgZARCWRpNjprQM51zV646ce/3RzVYS0sjh+v16MfVd61afarPrjr7/L7799u/sPcpobXmJfxwQP6gO/AS/v3wEpk/RHiJzB8ivETmDxFeIvOHCC+R+UOEl8j8ZyCEuEcI8ckfdD/+JVizZAohbhVCPC6EqAkhVoQQjwkhbvhB9+vfCiHE00KIrUKITUKIw88790khxKwQoi6EOCeE+Jl/yzXWJJlCiBxwH/AXQBEYBj4ABD/Ifv1bIYSwgA3ABWAfcPh5Tf4YGNVa54A3AH8ohNj3r73OmiQT2Aagtf601jrRWne01g9orY8DCCE2CyG+LYRYFkIsCSE+JYQofO/DQojLQojfEkIcF0K0hBAfFUL0CyG+IYRoCCG+JYToWW07KoTQQoifFULMrGrIb1ypY0KI/asWoyqEOCaEeNm/4H52A6d1N912Pc8jU2t9Smv9vYGqV1+b/+Xi+qcvWnMvIAcsA/cCrwV6nnd+C/AqwAF6gYeBDz3n/GXgSaCfrlYvrApwz+pnvg3859W2o6vC+zSQBq4GFoFXrp6/B/jk6vHwar9eR1cRXrX6vvcK9/FTQBVoA/7qcQw0Vo83Pqft/1htp1f7mvlXy+0HTdyLELoT+DgwtSqArwL9V2j7Y8CR55H5zue8/wLw/zzn/S8DX34emTuec/5PgY++AJm/A3ziedf+JvCef+ZeHgGuA0aAo4C4QjsDuBV4P2D9a2W2Vs0sWuszWuv3aq3X0TVTQ8CHAIQQfUKIzwghpoUQdeCTQPl5XzH/nOPOC7zPPK/95HOOx1ev93xsAN66amKrQogqXeEPPr+hEKK42qYG3Aw8BDwLbAcqQohffYF7TrTWjwLrgJ9/geu/KNYsmc+F1vosXS3dvfqvP6arTdfortPwLkD8T15m/XOOR4CZF2gzSVczC895pbXWf/ICfV7RWheAnwP+evX4fuBHVz/3oRfpi8m/Yc5ck2QKIXYIIX5DCLFu9f164O1050GALNAEqkKIYeC3/h0u+78LITwhxC66c91nX6DNJ4EfFUK8RghhCCFcIcTLvtfPK+C53use4NBzT65ambcJITKr3/kauvf67X/tDaxJMuk6CDcBTwkhWnRJPAl8z8v8ALAXqAFfA77473DN79INHR4E/kxr/cDzG2itJ4E3Ar9L10mapDuQXkyO+4DDQogSkGitK8//WromdQqoAH8G/KrW+iv/2hsQqxPv/7IQQowCl+g6HPEPtjf/c1irmvkS/g14icwfIvwvb2Z/mPCSZv4Q4SUyf4hg/qA7APCJT/2Vtk2LOI6xLItO0EYIiCOBlBKVBMRJRNCq0u60OH34aTKWx/zcHLHyWVicY2klIuXmMQyBKWFooIdqdYW+Uga/1aYTKRqNBmE9IQgi4kTS9mOyaYc7X7ePjJPFzWQpZxwOjc1x8fwF+gYGWVqeIuP1YkqLqblzxLHC83rYddUOolCRaMilLLTWKCuLiNv0D5RorNTp7e+jWZln85btWCpBOAYrbi+msGkGEWiNlF19EtJECIHWmiiKMAwDIbppOiEMlFBILZFS8os//0svmCBZE2RahgkiIUoCoiTEkAKNQEiNFJpYJ0gNIoGp08fJ2Hmmpk+jYo3WKTyvTDGuEQQrpGSWXCZLxnUY2ryZjt+mnO+l7bdYNgWpfod6rUMQBUhhEAZtDh85wa7d2+mVkrnaIkP5PKd8H99vY1seSJC2pLc0gmk7LCzMsrxSZWZ6khtvuplmIyLr2eTyHn6SZna6ysjIOlaWpuntHWZ2bor+Qon+Yg9CtWgJiW0KFOb3B7ASoJMEkFiWBUAch5imiRICqeQqsVdOdK0JMg3DQkqFbQKo7yeOHdcmiGJ8v00pX+DYo09j2RmCRoP1fesJWk0WKg0KnoeOEiwBruPg2ib5dIqebIrQ1qTTGXTssWVokLmFJQbyglTKIUk0tVaTKEqIm4r8+iyWVSSJYt7yulfx9Qcfotw3QJIkqFgwMjLC/Pw8xUKZdtOnr6+PuZlZhtcNYUgXnUSkpcFS2GZxfoqNm7fRWJnGth1SqRSLlSYpW5NNQUiRmAjbsUiiGGmYaCHQJKAFQgikZRIrhRR0B7TSaG1cUY5rhEwD3+9gGQZ+2B2dcRgghCBst8h6OcbPHiPjZSlkU/hOyJnT52kFBksrK5hSkLbyGJZJ3kvRWyxSzHikbZtssYdcLk8QVrGEpJxyKOSyVGp1Up7HSq0KSFrtgNr8EkMjQ8xVlin3DfDut76BT37+fvKlNGG0SLOZZmFpEs8tUS71UK3VKPWkWJxbJp2xKW/ajgoa7Ny+hSNHL2Lblxka7KfdqDMzP09P3sV0c6QtgR/OEaQHiWLQpoFOFIZpEsf/pH2mkGB0NdI0LZRSvFj0sSYcoCiKsM3unGFZFpYhcFJptADDckAppi9dRCQx7WYToQW+r8ik8vRkCxQLRfJ5h22bN3Ltrh1s3TjEpqFBNg8PUUynyFiSvp5eMk6K4eFBCoUCoxs3kzYlW0ZGKGdcBnpz9BazLM/NkEql8FybWqXOG177chZnKySRTRK02LfndqSwUVoQRpqJ8+cxLcnichO/VSWd7sUSiqt2rmNxqcXM1Bizs/PkcllAohLwmy02DvTiKZ9EKyzDxDRNtEowZJfI782f3ztWSgES+SL1hDVBptaaOI5JtMYwDAzLIkkicl4ayzJoLk1g2SamITDRTE3OEcQOB586SaMREscxA8Uyvdks2zeNsmPTJob7++jt7adYLJPL5SgVeunvW09PcYBCsUTWcyj39WPbNuX+PoqZDBnbpjefpd2qEyWaJApIuxY//oZXkvFsVioLWDJiaKjE7NwUWzdvoHdkEMO0yaQdxifmmF+4yNzSDGlbc/3e7czO1RkZ7eXk0SNYThqVdDBsk5XZGTb15cg5FlqAEF0LJaWBkCANgTQEGgWAFOJF50tYI2ZWCIGbSqENQaPWwhAKy7JYWlzBdSFp1bEw8JOQ6alJqn7C5fFFXC9NKiXJOimG+8tctX0TxUKWlFdAJREqgVQ2g9AgkhjTNYmjAI2BZUksK4WjFEG7jvA0iRYYoWCoXMZMAgzbwG/WSHsZRgbXo4YkYRCTTTmUe/vodDq4dobTZ46wfdt1NJvLjE83uP2W60FLUqbL3ut3YSHZt/9WZNzGzro0aosUioMEzRV830GYLkokq4NaY1smsYq7BWcpUYlGYtCt0V95zlwTmmkYRneiR2JZBpZlo5OYdMamXatw8eIYfuhz/MlDHDs5z4nDY2SyNpmMZOPAMK+8/WZuvWU/Q+tGyJcGMR0HN13Ay+fIZnM4joOXyWIaBpbtYVkOlm2j6YY9wrAwrBS2bZPoGK0MpqYmCDsdVpaXcEzB3ms2k0/nyOcLVKsrbBxcx/JShWzKYvOGUcKwTT7j0mwqHv7H71JIFzEcm4xtcfLUeaqVJbTlkkQRKcfDBGwRsHfYwRIhQoNE4KVMtNBIBKY0kIhVTQXTtF5UO9cEmRCDUrSbTaSWhGGIYRg0GwHLC+P4nZiVhUXGJmrUWss0gwgTlx+57WbufMVt7N17LblcnnQ6gyUlruGQsmxsw0Rg4Jg2SAlxV0Baa5RSSNPAkqtztCGxTZNMpoBpWpjSotNs0G63mZ2dJeW4bNw8RBQGFHp6MayY/QduYPLSBTYMDlMqpBkeWs+NN+7Fjx2OHH0a4hpxq8OuHZtZWFjAbzYYOzdGOp3FdW1k6NNaXqA/4yCUj2EYRFGCQIKQq8QJJAK9GnN+Ly59IawJMk3TxHHs7l/XIpPJEMcJXlozd2mSVrvG4aPnMNwMy40EP0p4010/wi179rJxdBhLC4QAtMSxPYRlEqNBdz1BLQ2SMEY5JrE0MBwHRTchIU2362RJgW25SJFQLOUplXpwTYNysQfHMpkeO4sd19myLkdfby+HDx3HjNuMbtlFEtbYPDxKohWPP/hltGpSaYZMjl9mYMMwKSdmeGiUZlBncKTE+PnzWI6JTvfQO7iOkg1pyyaJ/W6iQCUIvpcwgFh1TfA/l0VfE2T6vo9SGtfziKIIUxo0mw2WLp1hYWmFxbnLTC2FXF5YwU9g3+5BHBGxfqiEYzqkswUsO4VlOWCYWNJAaolp2lieh9ZJ14GIEqSKSaIQS5lEUQRSkCiJaXtgSBw7i2mCJSBlmSTtNo1aDcdxyHkOw8MDODLi1v038cQzz7BuoIf5lTpaV5i9NMW6kWH233ITp8+eY2olYnn2ArRbjG4dZHG2imPm2Lx7C+eOPUxUmUXoiEI+xfpSAWk4Xc2TAsMwQHY9WqG7foUhu4mUK2FNkOm6LqBxLJN02iNWMRnXolZtI5KI6bmEyOhmRcqeYN+e3Vx/zQ6yKQfbzSOMbtZEGKClIDItDMcl0oCWSGEjpI1h2ggtkMogkQrbShPprrkNwxApTbSOEAloJLaTwnEcTNPk/MVxnnr8QUQc0V+0MUWbXduvpdFqc/utt3Hm9DluvGEn1x94PY89+E1uuOFGDj/5CI8+9gQDmzeQtVxuveN25mYnqc4toow+vOIg2tfQWmY4B0O51ZAkjlAqRoqus2OaJhL5ojEmrBEyU6kU6XSGMPTRGuIwIp2yWV5coFprcnGxjZ9EpAxB0Umze9NmCj0lBCZCaKThYJgulu1hGDaGNNGGgRaQJAqFRkUhMYJEKLROEMIlDFrYtoNpWJiOS7KaTtMGpGwLU0DKtbGEYtuG9USxzdlTJ3GFZnRkIxsG8xw5dJpWdYVXvuoOguYcEycfZXDjNnZuLFIa3kDL7OHCpSnq1WWS2jIbNmwgV+xh/dZNzM8tY1kxSSwJ23UGSjmkjjAtpysYvRqWyG7o8tzY84WwJsjUKJTQWIaNYUi06nDx3DGqywusLM6gUEjDoJRJce3e7fSXi5imiZXysG0bw+h6wAmaBIWUEltKUo6LlAKhJabjYkqJNK1uVkVqHC+HabgYUiISjWEI4jhGRYpYaSw33TV9wqZSa+E6OTKZHNlyH35tHknEHQf2cfDwEwSNFvNTs+y5Zjc71w9y6OCT7N6+hfbyErPzVdatz5AtZMmXB1icnydYmiCd9ai2QuxcjtK6jfRmTfpyObRO0Fp0pwfZnYa+57SteW827aaIogg/aGObNmnXpbFUx2908DtJ18QkCi9rYsuAfMpEJAqlui+JQGuF1AqhujcVaU2oFJZpYjkmie46REksiBEYRjdYT1RAFMcYlokOFablEMdg2S46gSQOcSwb25S4ts3s+DJzM4sUbE0uZZJJSYY2bObpJ77Nuk07icIqpb5epqYrDJZzrBse4PzxR/juNx7F7Mngyia95R6UlWeoVKDVWSIK68xfvkhYmWVdOUPKlhiGQIiu523bNvDPJw3WBJlIC1NIspk8URJx8NGHaFTnMS2bWJn4dDNDlim4ff9+MvlebNdFCIFpWygdr45aA1NKDCEgCTGBMAzplj0MIgMsx8UQJqgYrQWI7lwcBSEaAyUNoihCxRpQmNIi5bqkUx7ptEO+4LE4MY2VLpBzXQo9We66/XaMwiCeaFBvNenLCX72p97G/Oxltu+4mg3bd9GzaQ+Hvv55BBbDG7ZR7s2zsLRIf84BaZDr66fVrlMq9WArhetYCFS3j3TNLIB4kWlzTZDp+z52yqXdaeI3a5SKRWJfk4iQRjvAUWBoWNfXw5bRUUwS4tX0l6kFaIlhmKueoEShkYaNMCTG9xPUCa5hE/hdRyfWEuKIJIqJ/AglDJQpCZvtbgJNSKS00EiEaeG6HinHI58r4NoO8sGn2P/Bz7Lp2YucPXWQO287wInxRUZHdpEu9FFrzHD86UlUu00q1cPRZx7j7KJmYNNewkBjGRZRp85iI2FxepblmRO0VqAxeYK9V2+j48c4TtcB0rpbEnyxvCysETIty+iWfKQkbNW4eO4YyytzdPwmiTJIDNAq5vrt15BLW1hWCktYGIaFMk0sy1rdayERGpTSCMNCCxMtulpnmw5JGGJoTZwotFIkQhIlCoxu0VdiYLgZhDAxbIdEJ2yaXOauj93HukuzGI5LK+wgHIu9By+SmVpg/VceptRbprE8zUBxHePnHqfdqrJp/XZ+83d+juENJXJpyQ3X7ebpw49z9vC3WVqepVDegJnfSmvuLH39w8wt+fTvvpZO4FPMuogkREgXa3WQCpLuVPEiWBNkohJUFCKUZmV5ntgPSKezxB1JGMZdzQNu2n8VUpjE0gShutV3oVFJglAKLbq74bpZEgWJIokiVBQjpUGn2UAJhaE1SRITtQOSwEdYNnEcEvhtkihAK4HfiVGmy9WPHKJnYYXN9z/K4VPnOHbqDAePHOHjPQ6TWYfFt76CRnUeJ53j1n3bqN33BDf+/qfIP3mMxvIkX//q19DK5vLlC/xvv/OfGa+EKF2junCS3p6E8tAmVAA799yGEfvEgUm0NMdVG4cIw5BEBd2EgVJAsva9WYWg0+lg2y6GYWHaHoZhEfpVLMvCEJq0gEI2B9LuBs6yWyOIwwhpGBjShFgjtCBJEoQSxFGAihWGbeH7PtgOIlH4UUTU8VECkCZhGBL7Ci0tBs5d5jUf+RzFU8+ysLzCpwdyTGZSfGXzEOPTU0zMLmCZOY6XHH5nR4ZzA+C6A/T2FVian+DdNZvU+Ax9n/0W6WKRzdt2cvsdB7jxwMuZvPgkf/PX3+DBx47ipYaxezbieA5T558iJQTtep3e0T6WaousHyiTaIWOE6TQCAyEfnG61gSZOolxXZdGfYXq4iyddkCs427MaNpoLSj2ZDEMA8dxMQ0b6BZvjdVkgkKD0MRJhNCSREXd7ImEOAgJWx2UH5AkGhUHKBWjooggbNGptegEbeqtOlvuf5jiwgrXPXyQ46fP8kjG4xe39fGVdoWcl2FkYIhiT4Yto9vZMrKDI6cb7Nzex6HHTuDle/Df9yamsi5z77yLfHaIO9/wSsYuL/Inf/RfUEmOX/uF1/HNrz5OEK3QuHgCM9XPpgN3sTw3geM4FHtHaDarmGEVYoU2JUprNMn/P7xZrTVJkhB3aiRhg3Q6jeN0A2elFChNp93AMUykaWCshhaR0pAolFrd3ygErMZnQccniEKCMKLT6RAlMYlWNH2fdrNFp9MhCDsEzTaNRoWVao1DR0/x6f48l12bj2QNlheXmJueQURJt7idzmHbKYToerxCCRIR8eG//DIHXnYLHWFwyK3y1B/8Kke9ZaYmzxA1fcYvnead7/sVhA2ZTIZ3v+8n+at7P0W7PcPQhqtQfkxsmji5HiYvVhgcuY4wqPPaGzd1Pe9VGXUL1FfGmiATupX0JPCZm1qkHQVY0iCVSZMkESApFDyUirserGN/P4cZo7+fGUmipKuhcYhIElQUEfs+YRKjVUQUBajQJ44VSZLQrNapVqssVle4MDPJcqXKdy3NL4zmecLrDqb+Upmenh4y+QKWa+G6LmEYUq9XWalVkcKkWmvw53/6QYr5QbziBvZcvYHxJZ/BgQJBc4nhLdvJeg2eePoYjUaDdaUcoehlqz+CfPVPkD14kKgygV9ZQLcv0t87wMzULDKMME3ZJVEIFHrtz5mhH4AS1Js1wjCmvlwhjjokYdd58SxNGCaYdgopzO/HXiQSpbojNgx8ok4Hv9mk3ezg+z5x0CaOQ4RO6HQ6xIlGRzHtdpN2u03+2Gle/dEvkD1yioWFJdphAFLimCnSbhbbMLFcp1vgtmxCJVhq1plfWaHpK1qx5syZMzTbESv1FqYd8NBDX2H6/LO8/s0/zYkjF2koj+t3XU8tsFk3PELvwDAbt45yYM8e6r/9u6SnFil+7EuUt1zN5Zk5Elnk0ulDFEubSTpNDmztQ+kYvZoceTHtXBNkpt0Uri0ZGdqGl8kSh22SWOA6GYQAk4RKPcA1LYTZLVcpLXGePEj/f/hN5EOP0axV4aFHWP/L70d85yEalSWajRqtWpVmvdE1syrCVzGG6HrJ1z5+mL5Kg5efHKfd7qCTCB1rkjgk1iGG4yFti9pKjWcvzaJTvbiF9WT7ttISHjOLbY6dnuPS1DzzlYBfeN89vOcnfha3vIl8PkslrDLYlyfxV2jOnOHVr76T73z7McanLzC6sZ8vbN9KsGUdk2+9BTMpUyqkGVw/ikaRKxaYnThJXJlFRpAkyWru+MpYE2QmUuN3WrQjn0AFpFJZEq1odZoU83lM0yZMJKaT7rrpCSAF6b/6JPbYONm//hSXnj1G6e++jDc1S+kzX2VpcQ7joSe44U8/Qvn0s4Rx3LUAUqJJiOOYR67ZznTO44vre4nDkCTWXc9WmN1FySgOP3kSb3gzd7357ZSGcuycOM9v3f9Nrl+Z4fpWlX/QcHOQsLIS0xYRz06cZ/zkN5k59i1uufXNtKaOE8cJuw68muWFKS5NXGJ6xqe+VKW6ezO/f32ehWuHaK+cYmB4B3Njj5BbN8zE2JO0Eg/TUOzbtZE4jhFaI9SVzeyaWANkWRZKCtqVS2jfJ5vNoiKfTLZAkiyStiwCBIbrknriGdy//ATH7riWY7uGuanZ5OHtw5w+eYboqlFu9QPu29jHwoXL/PQDT5CrNNh8/yNMb92A6XqYUiK8FE4Uc3ZdiQetHVSbTUSY0PIbRLFG6jb1hRbljVfx3h07edPX7ufDB4/xwckpDinFKHDX6WmEEGzRmp9LBF9Mpcj5io/+7Xf50z/4T0RuiXj5EA1nC4MbrmH5xHcpr9/Iji3bKZZTpEslbnvZHh54oIFXuhERNqnWJukpbWZpZoXmQotif4lGG3btGObU2DQtP0GoK2vnmiAzSRQSh44fkcnkWFqsUMgbLFQlpZ4C4zNVmkGMoU2cD99LamKWHQ8EfOTHX8ZDloFOIIvD+KZeTpRzKAGy4/Od3Rt5+anLnL7lGizLIJPLdpPzzRjbEdi2ies4GK0WIZokiWj5PkInlIc3kjJDfvTIGTYnij8Yn2DBgH8EdgCH8hmOioifrQd8NCXY3mvR01Mi5Rk8fuwg/Trg2NnDXHfru1kee4JObZqiV8It5jl95Ag7diuWlttct28/377/v+NaW7jj9h1gbyRYPsy63ZuYv/gMfetfy8XD3yRsG4DNi1G2JsysClq0misszM3TDnySpEW5uB7TyNJsrWDoBCVMTl54jIuvvY3W+iGW3nU3+2+8gztf8SoO3HAdm9YPQOij/BC/1qBZr3M0a/F/v2IPszs2ks7lSeeypHNZCv395DI5erI5HNdFCpNESEItiYOQ2zrw5yeeZePRMb5xzQ4iw8AF/jCT5Z09eVzgVj/g0oZ+3r93E8u7N7JxZJANw0WGy1mefWYcI5fnZW9+Fzv3Xk3HK1Eubeab936Qfddu4+ypGc5fvMzYucvccO1GBvO7UcJFCkVp+ygyPcLKVEhzyaDTqbAwPc9rDux5sYV5ABj33HPP/wd0vTguXjx3T62+yIXjT5OEIbblkck4NBttbDeNYUj2VBr8pyNjRDfspfKL70ONDqLDDn6riZvySMKAGEWt5RNGiiRRhHFCEndzr/39vfT09lE6fo5N/+fH0P29tEo5Wr7PSsNHiIRWJyZMAv6oErJdw7X5LAvvuZvljEt2YZn7N63j2XyGgVabr27sx92+hXzapr9UpJhOM1jupZDOIkXA3OwMmzZt4+HPfwQ7XUYYdfKDm5m+vMA1+2/n1LHvMLJpO4WnD3HTpx7AL5U5trxAxhWsu+ZWvJQi1TuEvziG17cD1ZykpXpoBAE37b/5Ay8kxzVhZqWU5HJl0l6BRlij3myRRHm0CFlaWsGxJH8IpKfmGPr7rzF2017azQbtdo1Os0Gj3WJuaorLU1M8dfA8seguA3FNg9FNg2gh6R9eYmTTdno/9UWcy5Ns+MqDzPz6T9Nb6FArBizXoVAQSBnzpZzNT620ePa1r8AwFdV9V3Pf1g2EfpMgDvjEjnW0O01Eu045n2Prts1dxyyOaLfbJIFNo66YuHCMfW/8ZXbtu4777r2HXGorg1cP8uhDD9Nb3so112zjmt/7FvnFKjc99DgX3vtjNKYOkZJ9VCqnUI5HFGhco8rC3Gm2Xv0a5ivPf77FP2FNkGmaJraZwjEN5tpt/HAZx9pIqVgGY5nllXE+6Ej+om+Qhbe+hnangt9u06rUmJ2b4fy5C6zoTex/w3vYUruXu048y73lPI9bIVHgUygNkXIsQFF7z930fOILVN7xY9imRX9/P67rcuGygTTqeGmHk0rzkZfdynApR69hE4VNbKkxbIdWvYZMIlxpsvumvRR6cgil0SqmXWugjQidTaGJGDu7hOd8lacXjjC06QDViVM89sATiFSGqNXh4BNPsLx7lFe0Gpx95X4ee+DrGAf28fJtGrNnIz35HH5O0Vk5gbQK2GEbpa78DI01QeZKtYJHTKgCLFsS1VtUazUqKw3a9Qr5UpFHVZtn/49fJ/ChOj1Nq9ng6JGnuFTN8Z4tO9n2uS/wZ4e/zX9YqrIZePdilRN7r2LLuTHe8/lvkPzKO7AsG3Xbfip33kl7cZ58tYphOthI7M0Wg701Gp02pm3i2CYmmk6nA4kETPK5POuGRyj1FSAMUArCjo/hWARBh0wm111YVjWIY0WzU6fTqrFUjSkMRGSK6xm5pp/Z8ZMsVSewdQax/Soe/pFrKfSk+eW77+Sjf/ZB9t10kP6tNzNx9jC1lQ5GYwqvPIyIl0it5qJfCGuCzFJPkdkLx1FJA601nXqbbLrA4sICxVKW6ZkpLq4IPvDBz/LTP3YzS3MXmJyq8K3HzyNyaUaeeIzRRPMfOyH/lw2/G0IqUrzddni5tCn7VdqfuZ/6na/Dtm3kdx9j5MMfY+FtbyLavhkhBLmeHuREQtqxEMTW/rufAAAgAElEQVR4mTQpL0M2m8UyTBzb/v6+SQNNIExUFJEpeARBRCqXRUQJjuqA7aJ1RBzHPPPdy/zou96CU+gH2WHs7ON4SGZnJtiSvZmjBx/juLB555vvYvmpI/Sv38LZsRlEZhLTHGL0qhyOfQtaLXHx8MNs7r/+inJcG96sShBCkwSKJIqxLANETDplYntpPCuHITXfePppluvLVGptqpUV3jEyyscmlzjqWVTSadZlMrzyztfglgsMa3jZiXOc+pEbaK4fovEz70AmGhVB+i8/jj12md5Pf4FMoYd8qYztegyNbmT9+g0MDmzAlAamtLAMG8tKYVseUSKwbI9EOthuBi+Vx7DT5HrK5PIFMv29pAt9bNh2NcNbrmbDhg0U+gtU61VOPfkZjj7+KOmeEnbGZXR0J488cpSdO3cyduYCH//kVxm5aoSRjZv4ypee4eQj/0i+ZFOfHOPYP36JxYvniCIDS/tXlOOa8GYvnDt5Txy0WJh4ljgKaHXASaewpYEftpidq7ChP81EJaA3LRhe18P0+CQ/fWKSrZEib1lgm5RrTUrzCxy5cTf5lSqn7rgR5413Id75ZuT6ISxpoe0UaqCMHBun/p534veVUQjSPXky6RzStrAcG9PLoBFoBdKQWJaN5XokWoGGsBN0k/6WgZvJgW3h5Yrk+nvxcj1Y2Sy58iCiVefBr3+GbHGUcrGIV/aoTS0ysHk7GS9Nrq9EvW2xsa+PS1NnuPvdP8/FSyfYvm09hZzHhv2vRkc1lM7SO7iRuL7IyPWvWtvebNhuIbAIg5hECXw/YKDUy3CimSu2UQLe5cb89reOs9Tbx/Yfvxt58wqtz93PxP4deNk8qfsf5/SeLdSu280zL7uJVKrAwEB/d8llAhgWWie0b9iLf9utdBpVjDDAxgQ0qb4ydsejWV0mXo5RwiRQAWmZ6lZjwgBpWijAch3CIMQMQ7Ra3bruJt1lnWmXgZ5RQj9ABHWmLo+x7dqrCKMAQ+UobdnNiaNP8PiTT7PL34wZBzx9cpwDN9/A/KXLvPzO9/JHv/Ee3vuTb2D7UpW5sVMUB4cxRT++f+WHYa8JMpMwBhIMqTBtj2xWgDbx/RUqy4vU6wskWvEhP2EbMPTQcWbv/nHUNsn0zdeTbtVoLCxyfN9uPMNmRAmGNowizW4xGylRSYyQAksAhoGOA0xBd72PITA9D8uycMwsMpNl6tIkU5fO4xggB4fx8kVStoMRhijTImzU0Qo6Euwwwcg4GA2bJNEIW2K6HinXprRzL/tePsNf/vF/Y8eBUUa3XYPfamIkCh2lyKddXlbyuO3CLH/4pW/yHWeS1//kr/Nrf/DHTB/9ey6faHDjXe9l6uzDFHr66TRmryjHNUGm7VjYloWXKhB0FoiVRqDoLfaxNDePiCFsJ3wA+H3Ae/tdeJ4HSuO6Hrbl4OX6sVcXhpmGjW13VygIs/u/RHTrn9qQiFhjPfI4PR/5W+o/+RP4N9+AFBrPcVF2iiRscO7oMc6fP08qa2LbLlKaYFhYloOyTDAMYh0jRXfJi6tjEi+LSGxMyyPutFBmilwuh5Mus3HXFrbvvpFzx77G8PbbQTS55fYDTE2e5OcOzbI+jPm9fJZPpQoQ23z+ox+nUp3jHW97PZWFMSzDZHHxErZduKIc14QDlIQJuZ4eMlkPrTW5dAaBQaNep1joYWCgSKmY4kQ2zzWY6B+5GUNrbMsj5eXI5ksUi0XSbppsJo+bymCaDqbrdrcqaI1Ek8QBcRxjSMj+zaewx8bJfeKzSNNGxQmJFlheFkN4CK8HkVnPubFZzl6+zNLSAi2/Q6fTIvRbBK0GquPTqFRpNStUK4tEKgKVsDw+QeQHJMqnFQQYRncfTOA3GNl2G8IKsd2E06eOUS4O89+IueRa3NtncPjkBS5dOsOtt97K4JarePzhB6gtzyFSA8xdOA06uqIc1wSZgQ6o1yu0/RZB2OrugAKyuQJhGOKkXXp6+yikuruqtRIIJNIAkXT3clqYmG4KadiYqRSJtNBCkoRRd0lKGECUYEqB4abx/+P7iLZspPGTb0WokJSb7s6Fjo0Rx1x/881s3rYRbTkcPnSCY+cuMrO0QKVeoVlv0PFDYh3TqtdoNtu0OxFnjjxKdeo8IgmJ2g10vY4RdPB6ysSJwVMHT5MyLAztkcuW2X/LNUwtLHB4YB0/0ddD7Zb9PPXkArW5aTaMlNl39QFOHOrw6CNPowmx8kWk5V5RjmuCTMt0uuZLdR/WoOIOlrToLQ9RKpRwrRqmuYIfOLwbk/W/+Hs4jz2DiBVoEyEMBHR3TRkmKgHiiLjdJk4iGvMzNOenUCom8gOiOCB+zStpfPpvaO+7rruU0xSkUimUH5Iq97Lz5gNsWN9H39A6ZmfnOX76WZ48dIRj5y9QadQJg4BGo0EUBVQqyyzPLxD4iuVqm9rSHK1GncSxaTVqKJWgEoeLR6dYqC2wMnORsFFB1xdRHQX4RFHE048f4R0//hYuTZ3Gb83gmDXe+5vvpBHWGDtzgsHBrczOTFxRjmuCTE2CtF1MwyWKArSZodHpYMgEO+VSyA3SrEls1eI3iHDHp/Hu/QJx3F1OIRRoaZEkAr8TohNF2G4RttvUJ6dYunwBP9DEfgd0968OQ9rNKrHvI1F02gGdVosobEMcYYmYYjGHCUjbodVpU40C5hsNTpw/x9TCFI1Wk0q9QRBEzMzMMDk7R6tdwVcxsYTGSp2gXkGZNmEU0WjWOX78OItLU2SyebTjEUsfKV2kmyKdzvL04UPMTUzyxa88RH+Pw+ZtezhycIaJsRU6jXlMucafA5QoRdhuUsjlicMOYejTaNRwUzbVeg3byNAJ2oyM9PBfz1T4fdch9fY3Io1u95MkRtomUliYShE2G4TNFo3KCsuzl5ganyC/LmBgZASlEkgM2tUVzAcfonTv51h8y2sRr3o5WiqiRg2pElSccPbJJzh+9BhWyiJJEurVGo40SfcWMVIO1VaFKBG0Wk06KsZvKKYuj+NlC+goxFs/jGzXwSmgpYEKFHaqQLY0ih80GF7XT/rCFHYhxZGzs2SESRw2cc1NZDakKAwNc/rgA9z+ituJojkafoViafiKclwTmmlbFlLb+GGHYnkQUynSNjTrNVwTbDch41i4PTnmdo+wPwhp7L8OhYHGQKY8EjRx6INKSMKATrtO0KwytzDP3OISizMLJEKSRAFRp0XYqVP4xOdJTc1S+uxXaa7ME65UqU2NcenMYf789T/K7R//e243TKTtoKQgCBXVZoflWo1as4GbyRIlbfwwIAx9Os2AaiNgbvISiWdh+AmdSOMHDaQJZlrQ7MTopEOhUCLleGybmORDhy/xykaLuaUpFuar1OImw/19fOPLn2Prpu0MbVrPMwcneOqxg7RajSvKcU1oplIKL9Xd9dRbHuTi1Di5VIm5pQUiFGGgsCyD9nKV2mJAW4MKA3ATlLQg7K7uIw6Jw4j6yhJLk5dZXFpi7OIkS/UqA5u30q5XUEmCimI6UUzrZTcwdF+dQ5t6sScuoiyHz/3cr/DeQPJLyqA/ivmplSYHtw2hE4WQkiBKWFqucbB6mJv2Xg+mhTIDlGkRJyH1VpOlmkt88Cl23HQrXrZAs1rFjxXpHgfbdZhcWKLeXCaKTX6+YTLc7PBrwGOGS+9QhkzGxu/UCWOXRrTEcI9D76Y+vPIATsq7ohzXhGZapoPWAtM0qTeq6CTEdW20snCMPJ3mCo6TotA3wLrBEnebBv2/fA/yiacJI5/A76B0TKQS/E6bVm2F6vISk5Mz1FoN7FyBLdu34boeKx//W/p/5f2Iv/grBr76IN/cMIB20uz7H5/nb9/3S7ynAxuDGK0VY67F3w2XSDsemVyWVMrBsCSREFT8gPu//S0wwTAEEQk4DgGaMIwplAZoVZYIG0t4+SzFfAHbzjF2YRwpTfL5LJ5t8oXRIpdci/+ezdHRkvUjA0yMT5HES1y/9zoOH3wa29Bs6B3h6/c/xeOPffeKclwTmmkIQRJ1S0qeYxNHDSanZykWC2gFLa0oljJ0AslyvcUfKUV+dhH/Y59h+aabUElIGMVov0NjaYlWo0m12aLR8WkGPvv23oidzRIJwZ6z0zgrDbK185iJ4tZzIUmSkPFjfiHt8KUtZd4yscwXR9dztNyDYZuUDZOrF5Z4w7lJPj86zBMZl6jVIgxjJqanGO4fJooiwlhjOw6WZRCrBCdTRMUxSRjRPzTIuUvnqUzWsJwclXaFhfMNmmWPLzU8TlyuUy5ILEtgp3N4bg9f+8YDjAz1sdJocvMd1xJagnUb+64oxzWhmSQhZsrEdTyyhR4sq4zSATpprK5Gt7BNi2p1CUmbe8sux4Clu19LlISEysdvNukEPomUNFs1Gu0OSRLhZUv0lHuwUh5KKSrvvptg0wiVN99JY7if86+8iWf27GAun+HhnZuobtvGA5tGePOlKa4dnybVjEj7EW969jIjzTZvOT/B40+f5P6z86ybbPH+b53kZ/7uAXbOLZHOplcfDGWwtDiHIEZpgZ1yKZXLREGIW+hhbGyMuG3h2BmWp+cIoghPa0w/YfzyZRCKWqXB8Mg1nL80ScvXTE9OUPTSfPKTV/7VjzWhmUjRjQl1QKdVI/BrxIli0+goTx8+B4nsPq7T75DtyfHYis+Xh3tpfvgz3LfnGhzbxBCSVqtNp1nFDyI0AtNNMZjPki9mSOIQkU7TvuV6wjv2I6UB1+zm5r/5DJM/9npWtlzF6+/7Jg/WFQfGxxkOAn5iscJfjo6yfnQ9/zCzwCsvjvGhICaWBlsF3OM4lNrdxPfLT40zedUWLGngmAalcg9hx6e8fgTDcZB2ikbTZ3q+Q64EQbvFgWuvZi6ICOI223b1UyjmCGuTtIM60iizeWsGx7uajOswsv0GVqbHaFSu/BOia4JMnShQEUkUYpsWpmHjuWn8TkIUNbDdhCSOQWiynsXsVA1DW8zUm3TaNTodGxtJFHdotdtgdR9Zlkq7eGkHnUAY+gSRj22YYJpEUUjvR/4OZ2KKgY99CqUhX6txqx9y32A/b5qeIZUkbJ+f54sXTqIKRb59426OPHGKtFLs2tjPl1yH94zPI4GHrt2C6zikvSxeysFyTKRl40gT20oxOzmBDhK0Mphd8EklEV7GIe5USeXyGLaBKdtUOga5XJp6p0E0MY+UklazDqZL0InZtOGFfqKsizVBpu+3aXX87nY8ISjks3RCQSeK0doCJCu1Dn19RZqtAIRBq1IBKfnSb/8J73c9xu+8ndquLSidoFSCk07j2RaJVtQqCyQEuBmP/DMnKX7ss1y++SZOb9/Cllab01dfRbPWZN/JU7hJgtQxvmkw3Am4bWqaU+94K2PHD9NB4bkWWwfzDO/cznkd8F93bcYyDCzDoCQS0BHNapPMwABS+8RJiFQJly9NEwYNgsRGJ4oDkcnbPv8Mfo/DoX6XUxcu01ry2bWrB8OwSDkFGisNpKXovWoHzzx8H/VKm3WDz//9un/CmpgzhTAwgThKMC2HlJslDjssLi6TyxWwbZtYBSgdEMUthAgoFPIUbIe3LzfJTi+w4RsP0wk6JFpjui6Wa2PaEp0kLM4v8MR3Hmb84jiZD/8t7sQM5a89wD/6Vb5WdBh95jA1N6LtmBTCkNfVGoxtHiGSgoubRrua9eyzXG/18q5X3MHdr38jO3ZtYaCvl3w2Sy6TwbINcl6OfCZLPuVR7u3HTuUwpMXy4gK1ZoOi59AKIqQweVclobhY502TK+zZtRPdCclmDOrLFUwLSNrk3IRyfxG/VWXHzmt57VveQr5v4IpyXBOamc3nuHR4kigIEMIgiELQAUGYoFSMH2misI2XKZHNKJpZg3ZTkdIJ9yD4AJrkzlvIlHsJGw0wfVK+hWFbpDMOk2MT5J85w54vPUUETABnXn0D6bTNay/Nkm+2eeMzz3LmhmtIHztNBsGeyTkspdl54TK5/Xfwtg/ey/LZo3hHjrDtH77BxTtv5fTGUSzPptlsEvrR/8vcm3bbdt3lnb8555qrX7s9/T3n3L7Tla4kq3MrW8g2hmA72MYxSQgwUmGkqKqRjBrAqFQRiqpQpIoaQCUkGIILMD3BEMvYxrZsLNmS1Vj9VXf77rR7n93vvfbqV73YIvUml5cZZ3+Cc55n/Oeca86nIfAqGFoS1H1s20b7DnkR89qLLxNNxjz0gQd48XeeQJYZf37A58dHBV+aD/idP/gLvGCBMmlRFgWm6yClpNW9QLldxyoLCgPi1ObN18/fEsd9MZl5lODaJoaUGEaGaUmOHT5GZ2+bafiW57IomKYRZZHhWhlKJ5AmPILgXqn4kb96jFJAdWmRxeUV1g4foV6v4jgOShj8vX7CKtAE/EaN/+WRx7j9oQ+y+YkPk0mBSjPWr22SWRZ+f4iJIFpcYPTQQ0wNyfilJ5lbbnD60gWcaxsc/coTVGserutScR0Ora1Sqfosra7haQvPdTENzWCvy8VLbzIeDbn3wR+gRFCvK57yUr704++kc98ZTpw5y+EjS5iGQAcm8aiPbbusH7ybM/e/k43N13nj3AU2r7zAB97//bfEcV9MZjgdYWqXPM+ZTCJcK8ByKgjZx3EV3W7I/PwcGE3CXhttdBgNY2q+y+4wJCvgYmvEZNzDcRwcP8CyLGzXIcsS+rUtrn/4QRpfexYpDcQ/+AR/ceIY6mqfMpgn/OFP4nztm8TveTfO8jLp5z7P9r33cbNSxwwcZFGgl2tkKzVa/+iTzH32T7n+d96HqW2SPMN3PYJaFb/aIM8irMoKljP7ru2NhwwHE0Qy5vknHsPUsLTs41omFd+nFsf0e7t4MuOOu84wmoSYRoFpG9iux83NqywsHOHQweMUOVy7fpFb6fP2BZmkOYZlo4QGHEqGTMMW3W4XmY+oNeqYuuSvH32BB+49iaFN6tUNJmnGEcPiQi8mzTN++5//Mp9dXaL9wx8mfNfdCCWRicH84gLJ8YAbn/oYytQQCip/9TiVL32N4Xsfov++hwk/8FF2zz1NWSjkj/xDxht7lOde4PilC1x//7sR7zxGGE3J7zhB55f+JyajkLi7i7RNas0FtLYIggClKuRJDFIw3NrhqceeYjoZMj9v8eWvf2VG5rxPp1cw6rZoVJepOhb3338PV69fQasJQWWRIp1C2SAVHuvr69i+RzJN2N7auyWM+2KZBQhHQ7RlzqJSCk23M2EyaSMwQVokSYYbQG/aYhru4lc0FpKdbsy8aYKh+VlmFoaFP/ki6VspI4Zp4jbmCarzsxYCSgq7oPLlr2FubeN//VHUl75E7Wf+Oc4rr2G/+iqHf/3TpC9/l9MXzlMfjTn47acZjEdkWcZo2J/1qYgCaUhsy8CtVPGDYJZHpB2U6RDFOaXjkmU5eRbxsaUz/MpGwfvFTMA26E+J4ynTUcn6kQPstHbxHJ/JZEijMYdrNlhfO0bgZKweWCIKB7zw/DmW1w7fEsN9QabybLRMESjyNKMoI4TSuJUmK6sLSGFSphle1aTXg0ptEdee6XoO+DbtOOGIZ/IvmbVzX/3Iu4jjeCbdyHNcr4phmRjSoETN8oZ+9GNEa8tsve8Bak98C7vVYvm7z7P4zNMEgwEnr13ii8eX2akGfOPMUZ577gX2tjfotXfI8pzpoEt9fpFqZQ7PMqnUmph+ZWZXUAalAd/4T48wGAwok5BDX3ycwzH8RFhgSjhwcJGb2zs05hyef/YFiihjdW2FRnWJLI3pT7fRlk0yymh1+xRhl0e++Cym3uf2BIUgmk5mOQZ5CUJSks60QAq2rp3DsDxqjsOVKz3qQUI9WKJlXyfq5RzxNDfGE9pa8tGgRvfff44vnzlN5gRYGgwtUVJTFDllMksnmbzzLvr33M5oNCJu+hx45Os8efYo4XTKe165wpN3HKV96ACfu/d2gmqFJXOmhKjYHuFwgOMGyKzAqfpYbh3LcsA0yfKMaNLn6b9+gn4UkcUD5laO8B/3Uj7ZHvHZiqBSq9K+McZedNBFyPvf/35efek5lg83WFmtIvKYmjfH7sbzLDU9yjyiuXSa3/7t97Jx4+otcdwXZBZFBsrGDSzS1kyN55gOk7GiFDWCuVX6OzfRJmjHYpr65IOrBI5kpRmw14/JsBmlGaNuF4B/8ou/ya/+s4/juU28oIKpxVvBrbzVswWiKDEMSfu2Q1xZ+SGmyRQtbL77wffhaYO7CjmLbSOlEAa+66GUwvU9clFgBVX86hxKzQIUTWWSJFOE49PZ3SKfxswvrfHaa09zQcNT6y5pNuVhrcnzEZ2Oj6c0fk1Qrc9x8PAZ/uwPfp0H334/tVqD6uJBjhz1+M5zj/GOh25jrzvg8pvnbonjviDT0jaB59IXGaIwKGXKaDyhP9zg5hYIGTEIxyw6NRp1g0k4YG7pEMLN6Aw3MAzBui24Ocn+c475xc0Wn/7pT/P7S01u/N0PEH/P21FFjnY8BPlMbunYeIZAFiW1apMyK9FaY/tVhGlSxFOicIpQEmHaFHmOsmYyTkSJZWgsy0Ias+e7MpuQTEZ8/Q//kE6rDdmQy9duYkhFmGVYVoQjPdqtLSr1BY4dO4zbXObGtx5l1O3w+T/5f7n/7e9nb+cmVcugUq5w6fLzNN06Oh0xbncxjH3eBWbZDoNeHwwbLQzyQiJFih/M1Hn5NGFx8SDajEg7e+SZxTAZEvW71AMPURRMujmlkMgynSU/lzONbXWnw9rnH+X1+0+iVR2Rzl5nDHO23KqywG7MUUiBgULkJcHCAZIoJFMaIWeBi5maxaHO4i0EZTQBNXskN20f03Lod3qEZUS7tQ0iZXtnc5ZuXWiScJYbW3gSx/Vp9wq0KbnwyldpLq8y7BmsH7qdGzcvcOroaebX1rDcKnJqEdQtWrs9lhc0YXT0ljjuiwPQYNhFWxbjccRo0idXCSUJprYp0QilCYIq1WAZZSomg5BoPKG+cICF+Sa+V2I6JksqmTX7vVUX8S+Bl4HfXVyg2x8yjVPyAvIiBWGiLBfT9bAcD9etYLs+drVGRkFRZGRFjmGZ5HmKKEqKbObs0oZBaRjkwsC0LZQwyLOIcPcmX/oPv8Nt3TH/5NGXONtLsbSNNkuUaYDIyCYa7dbI85TN7V1cr86R9WPc8a5TpHaOUJL+XofdzUsYhiRzA5ZWV1FiSBTnJPH4ljjuCzK1IRmPR3ieQ+DXSaYQODUm4yE7W9sIJen1enSGU2Re4s3ZSDOg19pgr7NJmsTEeUQmJDVl4DoWQgi+CNwtFD/z8pv80m//JVeuXGEyGs/iYRBIbWK6FZTSKMtBSoWUBsV0QplmxOF0Js2MZxVV2SRElsxK54ocLdVb+3DOYPM6Tz75baZpwt1Pv8rBuOATuzGiLGf5d+Q4QQWrKhgPR8zPz7O5vU2eNrn9tjny8SbNeYfnn76CdF3uf/BjjPeuk5Qxb776Ci89d44wjlB/S2H9viAzCUfYlseot8do3GE6HTOOepSFxhYp6ysHmIR7dHdaVBpNDCWgzDHsBspyMAzJupegRYHv+qh4+p+LRkVZgCF48+om//RffYadP/mPrP7k/4rxrSdn4mhKSm2QpwmZlCRlSpKmpGlKnmeEvS5h2Ge01yaMI0bDAQCuac3U5VlG7+ZVzj3zBP3dEedefY6/WLS5asKfzVko7WBggjKY9CeMhkN6/Q66DOlPumxvvs7iym042ubiS6/xrgfvIXBsuu1L3Njp0t9rcX1zhFtvcuz0HRw6dvKWOO6LPVMpyWg0YvqWMEsxy4a1LBstCooshTSh34+oNRcwSk0apUyjMZ5lUK1XSMs+vmXiejFRZLFYtdnojoiANCuYEmOIkgNfeAoX4Hf+jM0H7sZx/VktU5aT5RGlMEimIWG/jxKCOI4ZRiFJOEIbBo7rQhqC52IEFca9Fn/y67+BNz/Hyy9/l1IpnnEmfPeoR4GkTBKkkaOFSZpOKAsTe/4oR4/OcaPTY+X0g+xeeoJPfuwjfP0nf4rU6FP1HfYGU2pzFXY2t6kuzqOKnO88+gi1+YO3xHFfTKYQAmlp4nCKUAY5JaUUCG0i3YAwKRCqZGFhdvepNEzGMbZXI0fT73cByXwdhr2M5cWAznRMPTCwZYlvW4iiQBkm/5tQvAT8xE6bcWuHXrfFeNAjymLSImfU2WXS7xDHMZ1+m+6ow7Dbo9ft0treYTrugYSMkviRL2F98idRL7/Ocy8+QxiX5FmKKH2EIRDSoCAmL3OkllTnVmnUNeee+y6trQ1EGfDq689TJBOe/ua3ufvuh9htD0mKkiefeIrh1pBC5PRbIa9fuU4hTGqOd0sc98VkJvEE06qjVIeyENTrVXr9jEkYMpnGNOsVTNPEcevs7F5CKQe/WkWS41Xm6fZaLM3XCcMe57dSolaHuqvJE0GgFKMopupq2nHCX5YlX5Qakeb88Y//HH/9y/8DOqhi2x4CRToNmcYJYb/LdDpl2BkwmiZk0yEV16WcC0iTiC9/7k/5B197mblJzMdjzSuNAGVkgEdhl6R5hhAZpu2Ql4LRXo8sy6ivL1BXNmcfeIjXb3ydKLdpbfY4dOJO1u/2SZWk1xlAkbJ45nbMzSpvnL+MUVqMMoHXXLwljvvCOf3aM9/4+b2bFxkOByRJSppHFInA91z29vqcOn4YVEmaW/Q6e6giJc1zoGQ46jIcxJRkSFFgZgZZYbE9jMiyHNvSUACiYJSWLFaqhNFbofoU/P43nuNQvcKBV1/h9Gc+x9AQ7BrQa+0xHI9onrvIh771XaaejX3qCIZl861vPcHuXouBaTA/SfjieoOWYyIN+Z+z5pWhEIZDUSqEUIzGE1AlpmmgtEH35nmOnzrDa2++zt13nKQIt9gbjbh+bZdzr72AYWn2NjZJioQwT1hcWScKUwb9HR740N/fv87pMO7OGgoszXSaIhWMsllNcZ52iVOouA/fERMAACAASURBVHWuXXmTSi3Akib98ZjBMKFIM+aWPUxpkaQxS4uCbDenO4VMSAZRwkrdZjTK0aKgPRwgBRjKIM1SsiLhZz/7Bd6UGZUc5v/T1/jKB99OnEwxS8lHX7vE4ijknpcv8G98RZ5nlGWOth1eWzR4seHMfKBCUBQJSlgUlIi8QBQFCEWcRzRWq2zvRJTDmMATTP0a1vQq6yuHeeKpl/jQw+/i6196jAfuvYNUPsC3vvkY4brgoZNHKeWQ3s4OC4sH2W7t3BLHfbFnOlYDrRXKcMnzlCw3sSwL7XgEtUU2t7ZQ2mUyCSlKC7QiTWL8wKXSqCFSTbvdxdU2WS5xTEFFK2paU69YbHcSRknK0WqF1XmfXECWZTiGgSollBn/cw5XLMkfLDtc6GywE424EfV55PAcG77Fl44skFGiDI1hWhTkFCgKaVBaNoZjYZo1lDZIhSBXilwbFNLkqy+22B67qDxmriJxlIHUPl5jhVFvC+k2KdIpP/Gjfw+rsULY2eE9734AS5l897k3CMdjlLb45uPf/FvDg/fFZAogSTKSOANpUpYwHk+o2wHVap00E0RJhFYZjqUQeYpSgvwtb2ahwPcdeuMelBo/MGlmsNWOqQVV9mRMgWRrOMaRBe84dYjLe1N6rV3+Jof4y1KyuVZnta6w0hKtBZZpceFQhRvHVklLkNmsjkIUJaXpY7qaMsnIs4QSibIkaanZ7nR5+txVRhggcw4IOLWoyZePQJpg2xZFnvHMi5e598wyz1+8zjMvJ7zbKPn8H36eU3c/zGDYwvUEw9GYc6/u8aHv/X6EW+fm5cu3xHFfkBnHMXkegwJtCrrdPfIyZzLs0GgusH3zOnnF4sipu9i+eZWigFqtwWgYkeQJUplEaUK9GmAKTRiVVJ0JWQC7/ZDVekC7MMiGI3bzAn3xGpZjEQvQSApm3V/PXu4ynfocXXEQaYEwUixlMi0VhgFQzjwtCoo8R2qHrd1dnn7pMu04QhWClIJ5DQ+emOPAYhNL2iRGQhnnSEsyjiOStwzAfs2lPYLOxja+0+Di9Ta/8H//Ar//p49x7uVnaTbX0K5NY26NzU6LxcU6WbJ8Sxz3BZlFmhHHKUk+JZ6OmEwmGEYFiozBYMBo2mG+qEIu8WoV2jd3MAIbqXIc4ZHEKRW3SZxOMZycOM8YjwsOrvkEccAzl7dRElIkSoDl2mSDiLcdaPLCZmf2R0iJJue1zRGvbI4wkVQdC0spJmmMtiyKNCXPCgxLogpJHGWUIuXsqscHFg8ytzyHo11UoZkaY0QkyMsUYyopzIwwCak0fLJU4LkBYTJB1Vc4c1ubRGk8f543n3uDcy8/iTd/iLP3vJMXXnyGUZpyYbPPFIcyvXWs9/4gE0kUjrG1xyDvUpQpwlAUhabMp5hOg9EkZTIdc+Twcfa2d7GDBUajqygN4+l0Vq1URkS5YNhJMBxFJizmKgXznku15vHmZg9DCpIwxas75HGCI2BaghYSleccrWg836bdG7E3nSINqNqKqgfLvotlGtSqLk3fpdJYwLYttGEjZDlrVCghT1Jk4ZCpjCTJKLSkyCRrK8e4fvUChSjoDzOUNunttqlU1lhfW2dzNKIUKf/oEx/na9/5Lo89/lXO3HGWdlYhTUK0KGgs7XOppSQjSwvKIiTNYpYWDpJmiqwQSGKKPMOyNINBzjTOUYZFe+sy3twyo04H3zVxXAfhVQgMhZJdqo1lLl+7zFKjgpOF3NgMmfNdxuOQVCq2ehF1T+GXkCBRIqfqWIRZxlIVjhw6jO961HyP+eUlmrUArUCUJWmmKPMUKWc9XYWAMsvJ4oS0KIkRiCyBtATThCSh1JLdrU0MQ2O5NpYWRInFoDuiWV9lMs54/pnXqLzrLpp1RTJqk8UTHn/1Jg89/L1cunaNb18tuOP0rdNG9gWZZVmitIeUEm0GjMZTKE2KMmNprsab58+xfuBeqtUqly+9imHmGFaDcWePIoOg6lPkIWEno7QNTM+i1d6iFthstgccWgFGTawspJCSbpZz9ugqnXabAwfniK/vkJeCNIkxHGN2GEsSUm2S5zlpOKawFboSYGlzdqLMBIUUFIUkL6A0CnJtkqQRBhLi2f9VxgVCghYOuCZzwQKTyQTfN3DiCYbtcvXKTTzf4c6zh7m2tcVosMnxY7exdtzgkaev8OQTX+P7P/QQx7Ma4bh9Sxz3xafJeBzS7e6RJMnMZ5mPMQxNZ2+b69tX8LwqYTjmwNoqSlvcd8/7ME2TRmMFy9WMRyOiOGM8TpDKRqvZS0hzbhGBie3UObNYYrmKWqVCApy/vsu4MBlu7eLaNkZeUrdtlM5ASbJCkhU5WVm8VedYoiiRosTzHLxqjWq1iV+ZaWcdxyGoePi+jxe4+M6sptFyHVw/mEWIuw7T6ZRms8k0UQjtIVNJzeiy0qyRJSHjUY/a0glqzSWSqOSeo4uYzbv5zvkWnauv8huf/qNb4rgvJjNLpyhRIgrIMoOav8I4HlFtLFLkExzPYBDt4g/qVP0GN65v0KzXGYQRxjQnMzWOZSJNi06nx+KKIvBcxsMJVc9lmhgsL0mcUY+XBiWLlkVkaHrjEUePrXH1ygbzgYVlSkw9k38Yxqwcrijy2TdlMWvX/f9b632kNMjznCQrKLKMNI6gKN9qmVfoaYSKDOI0xcpmMXKZYRDHMZY2ABPtGfhyndaNy0jD4sjJM5y/fIGDB1YIqj6jPKUR7fL4116gkIr779jvryZSYxgG/dEAwzBJ8wRT+6TpACXBkCXz9ZO0ezcZDyf4QZVhd8pwvEujvkS43SLKYH7+IDvZBkmSYomQYX+Msiy6vSmbm4Ij65p7Vy1e3phQxDGGEAy2t7BRiDQlqGsUEtu2Z/YCQ1KUM5daKSSmaaNNC8ty0PasWByhccpZ70g8nZLGNlE4RYpoVsimJI5wyNKCJEkpkbOCViUp0gwhBF51Ef/4vdz+4Pfye7/2fzJnZQzCgp3NKxheFZFMOL6+xrkLF3nm3Ku3xHF/kKk0UZZj2xaTMKU/6OA5DYSwcGyDqmUTVObpdjapVJsMJmOaiwsE1TnC8TZ+rY6pPdrt65QIwvEIFQQcPX6K7nBEkkyp1cF1Cw64ikubE0rDwCxKSiSOVVJpVFBGRs2t4DgOphRYloXnOhimNZs2KdGWPVMnmB5IiWHaIBV5mqANi1hrDMtEDEoMU2FaKXlaEOsSrRPKchbIAQXCruBakDRr/MF3dvmVz/5T9kY5UW+Hn/qUpr54gGGvy2Bzl/WVFZ5+JWZurnFLHPfFnjmZTKj4Vdp7m7M4NCVQhsD1HOIkZzqZRclYroN+KxptOu6QlzlBpYbjeERJxtz8CiBBgdI2aT4mHPUQYszljR4vXhpSCVzuv22NKM1peCaVqoPnO2gR4Zg22rKwtI1p2jOvqBBYpjNLeBYCinKmTFAK05wtuUZZYhgGtudi2haGMvFrdXy/hm27uH6AloogCKgGPvWqT8WrELiCUsBnvnSe9brNXi8i6m0htcGv/fmzjMMc22ly1z2nsFzNyeU5PPPWARX7YjLHgxZJFpNkKdIYUIhZzpylPWzLpze5QU0vIhyfJEmo1xbI0ylShGjlMQ430bJJf3ATx6vhefNMowGjgUKXGcptEFRGLC022N7pMJ7kzLmCA0sNJntdqrXZhFUrHq520AazPVhKLMvCMg08x8bzArQzs7pry0JZ9iwdTAg0QBZjmHWUqcmTjFQnSGO2r5qmOTshpzGeE+C5Nbp+hf/u538TUcQ89a1Hue32Y7zx+h6IAm2Y7A326G1eYHnpIL1ezrvecTuPP/H8LXHcF5PZ7/eZhmMq3jy2OY/jVBGmJJ4KpII8E3R7rbe+Ox2kkVJKh2kiaPfbLC+fotdvoU0bV6X0utvEkwlF1qO5NEdnYxs1jYmikNE05NiRJe46USeNujhVhWVp6tUKrmVjewrPcRGyxHMsLG1haxPbqiC0+dY+qWbWB8NAm+Yss09KhLZRho1lB1iOhxf4+EEN2/Fxgxp+pU6jvkitVuNXXtrlJ/7332DUbfGPP3APW5//D1x69QJFUXDqxEkmScoffeG7nLz9baycOM7b7zrGiy++wenTx2+Jo/jbbuH/a/3++w+fLZUoaXcG1GpLbO9ew3U84iKj6jTRaswgFIgypV5vIqySwVgjsyH9/jWWmwcRxhJXrz2OiUt/KllYrrF1c5fDh4+RTWN2un0mJVQcg6YFg7iYfe8pAzfwqQcVXNfG9R1UqWb7pmXQ8HxqtQqNRoOgVsWyXVx3Np1Cm2jHRZaSPM0okwmltsimUwoBeV6S5yVpnpCns9QRspw/2oJf+9mfoRSKoixQUlEUGWtakRgaaZs4Rc7IqSCTIfcc0Bw7fQjLO8CjT13m+Tde/y+KZ/fFMiuEYjwdkpQptiOpNhaJoxGiLMllThbP8vWqlQrTJEbmOZbl0m5vonSFcRTjWNugXJaXTqFHPUxDUq15DAZdRv1dbK/Bblswabfwjx5CplNsSyGVJggCLNtDa4mWCtuwsbWBbVoza6ClcV0fx/bRpo02HIQyMAwNeQFSorRBLv2ZkMx2Icvf6sXO0DlYlk1uKHanEdvf+j0yoaEsEBTkRYGhDLYQlGXB4SMnWV4+yO5uG091ufe+dXY2I/yy5Piqf0sc9wWZlq6y1+1gK4vrm9eQOJhmRB6X1BZ8tiZ9/GoTw7QRRUoUDtjZ3MILfGThUq+v0hleozl/iO32FbygwbVrWwR1izxTOJ5LFiYcX53juy8OCJOQhg/tbk5lvoZlaEzDwNImWkq0qTANhW0oTF1iWz6Gac5adU2NMBSGYSDETHwmlSIrSkxTkVPO7maBojDRREhpEkmBVgX//utX+asnr9JYWUcbJqM45uihA1iWRW9aUnM1W/0e7VYL07NIk3mev9AhHWd4lsMdh/Z5DlBWJmRJjKFNKkET2/YoC0UU9hhPpsRhlyzKmCYFjWqDoLrCZLwHuUE4HTIIb+AZdfp7e8TZlHgy4sDqEp2dlMB1cKTL0uocz79yDddXtHbaFMLA0ZI0S8gpmfU4gqlttDJm0g9t4NjBLINWmRhqduBBzk6hQspZZl9ZYJh6JkIrwJQKKeXs4kErCttCey61py9jGQ5RY5m5pYOYtToYFoePHmXl0BEe/uDDzK0fZfXAYUqrSncQs703YLMV8tDbjhDZR7i5uXFLHPfFZGbx7D1RCpu9zg6NxhwCA8OvM00n2E4wAysVFMJmOm5x8PARknTKYnWeUkgm4xa9TotDx1YZ9Qdce6NDfTHg0tUNzhxfY9DZ5ujJVdK4YKlepd+6yYHlgFE8IQgOYOYz3yRljlImrm3hux6W7WE5PsoyZ58jykAZBlJpQCC0gYGgyDPKQs5ybxGYhp5dA0qN88I21x7/Ky4Menzop3+eeVPw1xsjjldq9MMholplt58wvn6dstT0Rhln77yTp59/AReBbgYMk4gLFy7y8N2nbonjvpjMadpHlDZSGzM/RpGS5hLHqlGWGc3mUfI8Rjqwu7uJU6mRJBGO6RGHA8I4wnaqLCzOMR6lVGurnDq7Sp5PmPQTChGSY9EdRbjz8/h1g2laYLlV5uYOQS5mOh6ZYymF5zj4vo9pmli2iRAFhmGQk5NrG8Fs8kohZ1qfskSWAmmAyEuUAcqwUM+8ydVf+Lc8/5U/42rrJnlZEjz+p6zxJg/fdy/9cMLJAysI6XB0XjANExoVj7WaZNwfsxz4aMdmqx/z+W+e49TSHP/qN79wSxz3BZlJLlEqozvYJU1KoihGKUmeTzFMk/beefIsJk0U02kXqUqSTLLbbjGIdslzg729PWzPRCmBV9FEocOBpbs5dcdRtJ5HGiUPffAHyCctrlwfcvrYOvE4AlEyHnXJsxBHGDiuh2vas5sec+b4shwHKQ0MU3Pzm3+ENBRlOSsul8YsA55SIgtITMn4d/+Kx/7ZT/PEV75Ia9RDORa1yizyjemIxapmMOpSrTWwGw7EIaV0aFYrXL16lU5sMh20aQ9CXAOsaQddWSeJpqwdWb0ljvuCzDybeT+UkCAyLMthaX6RJJ21n0/DEYNhhyIbo3WFOE6RJAgUdX+N8eA6nhcQTRLm5la5evES03xMP9pEuybtzRu0b/R4+iuP8PLrLWo1h2+/vokfuARJQj4Zg+vh+xUs28DQEi0FtumgpIFWsyVWGTZH3/+pt672ZpcFEhBSU8gcgWb0b36Pp579Jr3xkHLcpVoI6trmwIkT+KYkOnMPgQs7V67S3bxCw7ZI05jDa2sM05LDx46z19mhF8YU0x7DacpoNCFNI5or89z3wK3ro/bHnpklLMyvsNu6MXNVGSbtdhvXM0jigiT3ma/OMgPiJCIOY1xPs9feYq5ZxdAWWQ7NZpMMRakU840m4SRBWAZaJ1hVn34hCGzB9m6fZbtgZ7PDnJlx1l1iOVLsjCPKqv/W3mhiWBaGZSNEMfsEAaTSs+ZcYWAoRZ7GyDLD8jSv/cz/wWutIa1hjyNLC1Qck7vO3vlWFkIHM1hEH7+d7I0taktzCM/lpQs3cWXJG089zXh3SNLeJR50ef3KZZyqSz2xqeguG32TqxvbjPLgljjuCzKLophJGLWPbRqUaUKWp6RpgTIKlCyQf5NJC/T72zSXlyCfNba7fo08yYjTElMrtE4Z7O3QHU44duoU3uIh9s6/hmvP0Yszrm3u8e63nWTnzWvYS5qWOcbswUoasCpNrq7mOK6PoMRUclZkY8+K3aRUzBa0grKUKKUolUT/uz/mG9depmItcuLu07xj5Sj93oRWe0giTR7/5jO85/6zXG5N+PIjr7FyxuXIUpN3hV/k6eshv/XUNgWKqNfHrlYxph2iQc6ONMiymI988oOUYYeV+eYtcdwXy6zn1un22ji2AaWkJKI37MxMRMJFGw5hMkEbOUUhGAwGVP0mputQlBmB32A07hMlMe3tSwTuKpaRE+UKQ9mEwxFRCElRsnL4AEvLTabSIiennEC3PyFMcoyywAa+J/K4a2OAe32H4WRMnueUhXjr0CNmrexiljythCQXktg1CZwGpQNL64dIm3VW15cxKlVKYv7+j/0YNTOjt9NF1I7yjUe/g33lGT7S/Djy9rv4x+89wN85ApqQeNQmTVOUYfKesw2sSp0Xn38Jq36ALL11sdu+INMQkjJNQCiyLAPpUM4qvcnylMbcPLJQDHpD0izD96u88vI5llZWsISNZTkUZUzg1tCmycLCHNL26PdG7La2iQjxfZdomDCIx4yjkFfOvcSd77gDYTgkmaIfTsilol5tUBYZWZaxOoX7t0bUrt4kCacziWQhZ3KQPKcsS7Iix55E9AZ7LPkVvudTP0L1gU8xfPBD+L/4K7x0/iJLzXmU6/Pysds5/51v8MCDb8fzTa7cvMhd//Zf8/jn/pKNTosP3XY/Cvjh9x3hUHMVI51ysWPyg5/6EY6+7T7Ob7ew5K3VefuCTGRMGI6RCCbRkDQpsVRlFopo2URJj93WBs2FlZmnxHAwDU1zbp3eYIMrbz6LLA2yIkfKjOF4wmSc0WzUMWyLqt/ArXtYnkFvKjl77BgYdaoHzzIZx6SWZGvSQUmJFgVWWUISIY2cZDykMZxw+oVXOfDEc4TDAfF0CkBZFJRlSSyh7jdYWzuAPnGWuXtP0vrtn0NngucunEMYimjnOo+aS5y+8072tlpYbpVr6jQ//i9+lXThDE/sLfHZHYPAgxdf2uCONclv/beH2bx5nWeffoawt82dt9+O75q3hvG/Fl9/26/IFaZdmTUIoRlPOghDYBoWw3EPWZpUq8t0O1scOnobfrVGoQStrWusHTzE4uohLAccx0HrKrI0Cao+rVYXS5T0e20qlQW0b2FZJq9dvMqpBZtnnvoacWCic4W260RJSBonbJ1/DUmJj6Ks1tG+Tx4llGXJxd/6DNvnXiNLi5kKIctm75u2gasVy899nU6/xx2/+nl++cx7ecfbbmMwnfBbq2c5/9Wv8Ojnfpn7jDeQ0yF7NzZ45Mtf4PL1PqcPrhEZJpXbHqY4/ADtxbv49IU7uPMDP8CJ42cIasu0ewN63X1ug59MJpTlbF9SYlYLpYTPcLyLYRgkCSwtHKQsYy5fOMfcXAPXspnGGVubu7hWBS2bmNqhVlsBCuq1OeoVh3jQp7awzmA8Au0yCUf0Rn3mFposzi9y34/9KNNhyGhvSCklSRbjLi6hLZvCrePVPKjU0asHEdrkfcfP8to3HiUtcuRb97RalBhrB1mca5IPI07+3u9T/Xe/zH/zQ/ew5s8jRkN2RgkXN9rcLO7hieEcsYiJuxfJNp5lgRGma7C9eRNKgeF5nLuyxRm/zfve8R5u7Oywcmid5uICg3SftycUUpFkMZPpmKBaQQmXOOpimpVZ4ITpEEYd8kySlxlvvPIClleZyTUoME2T5vwcg2GfJJ6QZCllkWO6Aq8yT81vUEiFY9nUaj5zzYCbm2222ntE0xyzVsW2XZRZwfIbVFYOYc4tUJIz3euSbrTI8gzt2LgVn0mvSykKyjxHCEmepxTry9hWgDJMpjZM+l1aG1sk7T5BxSV/5neZDNscOtjg6rUWH3rfe9jtdLFW7+Ta9nXe/M5jnKwmVOWEwM750H138VvPXeXJ7zxHb3eXxfllNq/s0Nq69d3sviBTa02j0SBNU4qsxHV9TKuKoUoEFu3WDQzNTFOjDJTjMBl2oDRxTJtOp8fy0hqeX8WyNGkSMRx1OXjgGDutXcJoQme3jykVhxpNTi4vcbMz4nJn1uN19dpNLu20eP3mNt1BnzSNkWlKKQSTzW2yQZsyjQFBmuckkzFhqwNSIpmJoMODyxAn7G5ts33lIp2tLYp4zD333MXYcvjMo5f4wEd/ENF+mY+fFnz768+xevS97PQi/JUDDPQiT7yxQ7cMeO2V1/j201/kFz52H6p9mcaK4vHHnuQbX3sE8n2+zAokaZKQ54LRaECaR6R5AsKiPxyQlhFJXDCdhCRpyqTfx3UCDGEQJxHjaZdLN96kKAqm4YC8iNBSsbfXQsiCC9euYHk+Mp/yxsVLvHh9i/vPHufgkRNcfel5WmlOLgxeeO0S0/GEomDWN20a+EvLbI57aNemRGJWA/I8JuzskpeQlgWlNCiKHFmCNATacfFqHgdPnMKs1PkXbROpcp7/zvO8dL7D//grf05vtMdm6wUGbzxLsyxI9i6Rdmf9LA9+8Ac5c/f38dlvdbjrgx9gTjc4mJ9nTk4oVX5LHPcFmf1BDwDXNYniEWWRopQimuwhDYu56iqWKSnFLAfP8Xw2Nq9ieQLbNtHKJEpKJtOUhYUlpDAYjkOSeEJzfg4/WMTzFNk4YXVujrWqy+utAVoW7Ay61ITCKgskJdf6PbIswTStWfNtFHP+/BuQCYRUFHFCkWWEwz5lPotxKcsSI4eySNBaoy2bldWD2I150v4u42vPIHLBlQtvoAyHhSNnSHSVE2cfIJcZ17f3mD/0Nn7wxz/BilPQ2H2Mx/78D+hEErKAxF/gGy+X7E1yNjv7PKHLc1ySZEaUZfpQWvi+TaeXMOoPCFZqaKOOZaeMhwMsxwepyaIIp+rSH5YYMqNS8ymyCCFLsqhPKguiaUqSRrimAtNi0E8gVywELrs3b+J6ixjssLy4xHrFohrMhFulZVEmMdLSvP/d74aygDRFZjlZAZO9DgV/A+zsTdOxLcyiwHEUyvGgmLXsPvzuu3i9axPFQ4ZbNxhffhXLcZl06gQrd3Ds/nlGgyFf/dM/Zhr2eMldxK4EPHCqzitPPcIH33aIZ77wIkWRUbH7t8RxX0ymbUrGUYciF2jLZJr16XS3qNcWCALFfGOJ0WSXhfkDBEGVyWhIs16jFDAZJ2itkKLA8xskeQalJs0dFmtLhElOGJUsNirUfcm77z3NR7/vXvJxm7mVJZI85PYf+iiOoziyMMfBuSU8e+YQE0KQxgm+v0w+7lIAeZwQ5iWZEpRCkJcFGSVSFpi2TRlFWFKTJSGlY/H83Bzf2XTIHRuncYD68ftw1k9x5zsfJBy0Ge1scO7p55h0e3zok5/k7ve8lzjsYflw9eIFuoOEX/zMy7hewD0PvA+99MAtcdwXkym1i6l80ixEoqkFS0zCKds7G6ytHmISDsjjgn63w2gyJqjUiaMMRIFlVYnSFpPplHA8ZNTvo5Rk2NuleWgRkpi7b2tAkVMNPOI4ZXH5KHfdHfLEqx2ENmhFU0bXb/Az3/cg9aBKkuXYFBRljl2pkCsL0gJlzB4FVs7eSRr2EMpAm5okSRCUiLUDOKMJrlOjkBpRwmf7Ba++/DxuadCVKSfWj9ALLILGEkt3voNjR46z/caLbFy/wZ//zu/jNCvU127j3Q/dS2+U8+RXvkrF0YwixWa3w9x+t8GH0xG2aTGNRiwuLTIe99HaJI4KknQKxYS0yHGUQilNmuaYliKozpPEUK80QCUk6YSg4pFFBcqqMO4PqK0sEwQew+EQ4TicPHyI+ZV5zCsHEeFlEsMk3buJX29gVxpgmDN7QpkwHWcox8KiAMuBJOfmzh5pFPPOn/p/GL/+bXLPx7R9mCSEJ07hXr5BViYIwwRDMt28yeLKIba3tynjmKvn32Bt9QCdfpd4PKZZ9dHHjzK3epiKaxGGXRhu8uyzr5BOBIbMGQ17BPOLCAxkdmsy98UyO40jeuEA1wsokglCeEyLglqzRj2oUvFWobTI8xLTCtDVGo1anSyZYMkUw1Iopeh1dxGlTxQNKFyfqNS0t1rUXBdpwdrRFe5/7/dwx9veyW/87u+xO4yZmBUykbG8vkzV9SlGe4jhHrny0FUf0gmTMKSkJBqPebG1y8Lhw/Qunkev34Z78HbMxcOUa8dRK4dx3ABdX8VQNsRjHn3sWZLxAK0EaTQgLzIuXb3KuDvACVw2NjbIC0Gl4nKlF/LS5Tb+a1ax3QAABB1JREFU+m3kWPQHLZrVBdTSOpH2yLVBVOx353QBpjmrjArjiHbnOtqc44Pf9zCdnRZ7/RGHji/hV9ZwKnVGgzbhKCSfRFSXD2BowTTbQVvzjEe7pIbH29/xLjppRmujz4s3R/zDT3ycE3fdzfE73s5HvvdTfOQjfxd/aZE8TfnAfXfz1V/61zinT2C8UsDqCnJhCRlNSWWG+cYFCikReca1UZvTR+7HO3wQkoQkKwiHAyqVGptFxHEKimSAMuAFZ1YU8GZngyVvgZXmCk7g0Nre42rrJu992/0899yzDMOYMyeP4czP8/EP/yDf+MpfUpLiOibCNwkKG7di0fRc0vDWryb7g8zSomLbhJMOk9QhVTanTp+E0sB2LLYvvoEnTDLR49Tp22k0F5mOrxHlCZs330Qpwcnjp4imJf1Ol1QG9MZdbl7rsjzvMOh1+bn/69MUGNx199uYW13kyRdfptqboF1F+NdTFs2SaaePsEqsUiLzkny3Tea7OL5HPhxzdZqSG4oT974PXQqwTMqyoNJozsrP0QhdoiZjrn74E/zRV16ik0BgV0njhEkU4bs2k3TEvSeO8urV87Oer2nM9uYW3cvX6F+/wvri3P/X3t00Jw3EARh/2CQklDSE8tJOraKtHacnHe149Kt68+SH8BNgxx6waK2IBQoEQ8NbyJuHeuXWcTo7+/sI+8xednb/S3/gcRWHrKYJolDCTnVuBkOK5ubf4B9ETCFgq2DT6/4gM6vY+Ty/LppMB5eswyWWyDFfJxiGwfevLco7fTKR4U2nHNT3SROYDPsIobOYB5x1rvg9CtBEypujCqN5hhcaaPMxJTGi3TrnxI0olS26nT5aWGHa9Yi/fWHn+Usiv084vL4b1p9u311ydmzOPzcpWkUiYjLNgCQhikMMAULoOM4WWZYhqkXKfsinj+9JUo26U8QbjAlmU9Y1h+NGg3ang6aZHL04Zjia4I99tGTNnl7nwluQCwKyOKPguJiFPNXSFp7I8Pq9zev4H5ttVKrusVwFuNVDZkGAbdtUanXiVYihF8kJi/UywhA6hUIBM28x9Re427W7OUDRgtHNBH88YjxbUdQTTo92MRcBWQ4a+3VyScLJ23c0f6YMRZn8/inNywWtVodEq1G2XHSjxKRzhRYDCHQhyFbrfx8ACLrDEZGmYTlVhKaBrmNYRcgJojjh1r9hjcaqcsKH8zPa1yNqrk3vussqWeK6LrfBkj/+jCcHz2g8fsptmGI5Ltu7dQ5fvaa3WDJu/yAxTOp7j4hmPmXLYJ3myJIUk80nQA/irYlyPx7EzlTuh4opERVTIiqmRFRMiaiYElExJaJiSkTFlIiKKREVUyIqpkRUTImomBJRMSWiYkpExZSIiikRFVMiKqZEVEyJqJgSUTEl8hcLF2mkuiiljQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "for i in range(len(face_dataset)):\n",
    "    sample = face_dataset[i]\n",
    "    print(i, sample['image'].shape, sample['landmarks'].shape)\n",
    "    ax = plt.subplot(1, 4, i + 1)\n",
    "    plt.tight_layout()\n",
    "    ax.set_title(f'Sample #{i}')\n",
    "    ax.axis('off')\n",
    "    show_landmarks(**sample)\n",
    "    if i == 3:\n",
    "        plt.show()\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Transforms\n",
    "\n",
    "One issue we can see is that the samples are not of the same size. Most neural networks expect the images of a fixed size. Therefore, we need to write some preprocessing code. Let's create 3 tranforms:\n",
    "\n",
    "- Rescale: to scale the image\n",
    "\n",
    "- RandomCrop: to crop from image randomly\n",
    "\n",
    "- ToTensor: to convert the numpy images to torch images (we need to swap axes)\n",
    "\n",
    "We will write them as callable classes instead of simple functions so that parameters of the transform need not be passed everytime it’s called. We just need to implement ***\\_\\_call\\_\\_*** method and if required, ***\\_\\_init\\_\\_*** method.\n",
    "\n",
    "> 良好的编程习惯，编写成class而非function，这样**设置类参数**只需传参一次即可，**对象类参数**每次使用时传入 --PyTorch和Keras中大量这种Transform类的class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Rescale(object):\n",
    "    ''' Rescale the image in a sample to a given size '''\n",
    "    \n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        self.output_size = output_size\n",
    "        \n",
    "    def __call__(self, sample):   # 实现tsfm = Transform(param); sample2 = tsfm(sample)中tsfm(sample)的关键API\n",
    "        image, landmarks = sample['image'], sample['landmarks']\n",
    "        \n",
    "        # h, w --> new_h, new_w\n",
    "        h, w = image.shape[:2]\n",
    "        if isinstance(self.output_size, int):\n",
    "            if h > w:\n",
    "                new_h, new_w = self.output_size * h / w, self.output_size  # Rescala: 保持原有长宽比，只是同时同比例缩小或增大！\n",
    "            else:\n",
    "                new_h, new_w = self.output_size, self.output_size * w / h\n",
    "        else:\n",
    "            new_h, new_w = self.output_size\n",
    "        new_h, new_w = int(new_h), int(new_w)\n",
    "        \n",
    "        # apply new_h and new_w\n",
    "        img = transform.resize(image, (new_h, new_w))   # 对于image，直接调用transform.resize即可，对于landmarks，需要手动resize\n",
    "        landmarks = landmarks * [new_w / w, new_h / h]  # h and w are swapped for landmarks because for images, x and y axes are axis 1 and 0 respectively\n",
    "        \n",
    "        return {'image': img, 'landmarks': landmarks}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RandomCrop(object):\n",
    "    ''' Crop randomly the image in a sample '''\n",
    "    \n",
    "    def __init__(self, output_size):\n",
    "        assert isinstance(output_size, (int, tuple))\n",
    "        if isinstance(output_size, int):\n",
    "            self.output_size = (output_size, output_size)\n",
    "        else:\n",
    "            assert len(output_size) == 2\n",
    "            self.output_size = output_size\n",
    "            \n",
    "    def __call__(self, sample):\n",
    "        image, landmarks = sample['image'], sample['landmarks']\n",
    "        \n",
    "        # h, w --> new_h, new_w --> top, left\n",
    "        h, w = image.shape[:2]\n",
    "        new_h, new_w = self.output_size\n",
    "        top = np.random.randint(0, h - new_h)\n",
    "        left = np.random.randint(0, w - new_w)\n",
    "        \n",
    "        # apply new_h, new_w, top and left\n",
    "        img = image[top: top + new_h, left: left + new_w]\n",
    "        landmarks = landmarks - [left, top]\n",
    "        \n",
    "        return {'image': img, 'landmarks': landmarks}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ToTensor(object):\n",
    "    ''' Convert ndarrays in sampel to Tensors '''\n",
    "    \n",
    "    def __call__(self, sample):\n",
    "        image, landmarks = sample['image'], sample['landmarks']\n",
    "        \n",
    "        # swap color axis because: numpy image - H * W * C    torch image - C * H * W\n",
    "        img = image.transpose((2, 0, 1))\n",
    "        \n",
    "        return {'image': torch.from_numpy(img), 'landmarks': torch.from_numpy(landmarks)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compose Transforms\n",
    "\n",
    "Let’s say we want to rescale the shorter side of the image to 256 and then randomly crop a square of size 224 from it. i.e, we want to compose **Rescale** and **RandomCrop** transforms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "scale = Rescale(256)\n",
    "crop = RandomCrop(128)\n",
    "composed = transforms.Compose([Rescale(256), RandomCrop(224)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(*args, **kw)>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sample = face_dataset[65]\n",
    "for i, tsfm in enumerate([scale, crop, composed]):\n",
    "    transformed_sample = tsfm(sample)\n",
    "    ax = plt.subplot(1, 3, i + 1)\n",
    "    plt.tight_layout()\n",
    "    ax.set_title(type(tsfm).__name__)\n",
    "    show_landmarks(**transformed_sample)\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Iterating Through the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "transformed_dataset = FaceLandmarksDataset(csv_file='./data/faces/face_landmarks.csv', root_dir='./data/faces/',\n",
    "                                          transform=transforms.Compose([Rescale(256), RandomCrop(224), ToTensor()]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 torch.Size([3, 224, 224]) torch.Size([68, 2])\n",
      "1 torch.Size([3, 224, 224]) torch.Size([68, 2])\n",
      "2 torch.Size([3, 224, 224]) torch.Size([68, 2])\n",
      "3 torch.Size([3, 224, 224]) torch.Size([68, 2])\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(transformed_dataset)):\n",
    "    sample = transformed_dataset[i]\n",
    "    print(i, sample['image'].size(), sample['landmarks'].size())\n",
    "    if i == 3:\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, we are losing a lot of features by using a simple *for* loop to iterate over the data: Batching and Shuffling the data and Load the data in parallel using ***multiprocessing*** workers.\n",
    "\n",
    "***torch.utils.data.DataLoader*** is an iterator which provides all these features.\n",
    "\n",
    "> 刘尧：***torch.utils.data.Dataset***构建Dataset，支持功能：**基本的len和索引以及数据Transformation(继承后自己实现)**\n",
    "\n",
    "> 刘尧：***torch.utils.data.DataLoader***接收Dataset，支持功能：**Batching, Shuffling和Parallel Loading**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataloader = DataLoader(transformed_dataset, batch_size=4, shuffle=True, num_workers=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_landmarks_batch(sample_batched):\n",
    "    \"\"\"Helper Function: Show image with landmarks for a batch of samples\"\"\"\n",
    "    images_batch, landmarks_batch = sample_batched['image'], sample_batched['landmarks']\n",
    "    batch_size = len(images_batch)\n",
    "    im_size = images_batch.size(2)\n",
    "    grid = utils.make_grid(images_batch)\n",
    "    plt.imshow(grid.numpy().transpose((1, 2, 0)))\n",
    "    \n",
    "    for i in range(batch_size):\n",
    "        plt.scatter(landmarks_batch[i, :, 0].numpy() + i * im_size, landmarks_batch[i, :, 1].numpy(), s=10, marker='.', c='r')\n",
    "        plt.title('Batch from dataloader')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 torch.Size([4, 3, 224, 224]) torch.Size([4, 68, 2])\n",
      "1 torch.Size([4, 3, 224, 224]) torch.Size([4, 68, 2])\n",
      "2 torch.Size([4, 3, 224, 224]) torch.Size([4, 68, 2])\n",
      "3 torch.Size([4, 3, 224, 224]) torch.Size([4, 68, 2])\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i_batch, sample_batched in enumerate(dataloader):  # dataloader可以这么迭代！\n",
    "    print(i_batch, sample_batched['image'].size(), sample_batched['landmarks'].size())\n",
    "    if i_batch == 3:\n",
    "        plt.figure()\n",
    "        show_landmarks_batch(sample_batched)\n",
    "        plt.axis('off')\n",
    "        plt.ioff()\n",
    "        plt.show()\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Afterword: torchvision\n",
    "\n",
    "***torchvision*** package provides some common datasets and transforms. You might not even have to write custom classes. One of the more generic datasets available in *torchvision* is ***ImageFolder***. It assumes that images are organized in the following way: *root/class1/xxx.png(jpg/jpeg)*, *root/class2/xxx.jpg(png/jpeg)*...\n",
    "\n",
    "> 刘尧：***ImageFolder***相当于1中的Dataset Class，用于把原始图片文件构建为dataset，包括Transformation！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torchvision import transforms, datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'hymenoptera_data/train'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-24-dd8b9d87e3a6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mtransforms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNormalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0.485\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.456\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.406\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0.229\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.224\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.225\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m ])\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mhymenoptera_dataset\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdatasets\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImageFolder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mroot\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'hymenoptera_data/train'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata_transform\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0mdataset_loader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhymenoptera_dataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/torchvision/datasets/folder.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, root, transform, target_transform, loader)\u001b[0m\n\u001b[1;32m    207\u001b[0m         super(ImageFolder, self).__init__(root, loader, IMG_EXTENSIONS,\n\u001b[1;32m    208\u001b[0m                                           \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 209\u001b[0;31m                                           target_transform=target_transform)\n\u001b[0m\u001b[1;32m    210\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimgs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/torchvision/datasets/folder.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, root, loader, extensions, transform, target_transform)\u001b[0m\n\u001b[1;32m     81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     82\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mroot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextensions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_transform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 83\u001b[0;31m         \u001b[0mclasses\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclass_to_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_classes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mroot\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     84\u001b[0m         \u001b[0msamples\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmake_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mroot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclass_to_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextensions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/torchvision/datasets/folder.py\u001b[0m in \u001b[0;36m_find_classes\u001b[0;34m(self, dir)\u001b[0m\n\u001b[1;32m    114\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion_info\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m             \u001b[0;31m# Faster and available in Python 3.5 and above\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 116\u001b[0;31m             \u001b[0mclasses\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0md\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscandir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdir\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_dir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    117\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    118\u001b[0m             \u001b[0mclasses\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0md\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0md\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdir\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'hymenoptera_data/train'"
     ]
    }
   ],
   "source": [
    "data_transform = transforms.Compose([\n",
    "    transforms.RandomSizedCrop(224),\n",
    "    transforms.RandomHorizontalFlip(),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
    "])\n",
    "hymenoptera_dataset = datasets.ImageFolder(root='hymenoptera_data/train', transform=data_transform)\n",
    "dataset_loader = torch.utils.data.DataLoader(hymenoptera_dataset, batch_size=4, shuffle=True, num_workers=4)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
